paper_id stringlengths 15 32 | title stringlengths 22 188 | authors listlengths 1 20 | isca_url stringlengths 66 83 | pdf_url stringlengths 65 82 | doi stringlengths 30 30 | pages stringlengths 3 9 | bibtex large_stringlengths 290 737 | abstract large_stringlengths 411 1.7k | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
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|---|---|---|---|---|---|---|---|---|---|---|
kaminishi19_interspeech | Investigation on Blind Bandwidth Extension with a Non-Linear Function and its Evaluation of x-Vector-Based Speaker Verification | [
"Ryota Kaminishi",
"Haruna Miyamoto",
"Sayaka Shiota",
"Hitoshi Kiya"
] | https://www.isca-archive.org/interspeech_2019/kaminishi19_interspeech.html | https://www.isca-archive.org/interspeech_2019/kaminishi19_interspeech.pdf | 10.21437/Interspeech.2019-1510 | 4055-4059 | @inproceedings{kaminishi19_interspeech,
title = {{Investigation on Blind Bandwidth Extension with a Non-Linear Function and its Evaluation of x-Vector-Based Speaker Verification}},
author = {Ryota Kaminishi and Haruna Miyamoto and Sayaka Shiota and Hitoshi Kiya},
year = {2019},
booktitle = {{Intersp... | This study evaluates the effects of some non-learning blind bandwidth
extension (BWE) methods on automatic speaker verification (ASV) systems
based on x-vector. Recently, a non-linear bandwidth extension (N-BWE)
has been proposed as a blind, non-learning, and light-weight BWE approach.
Other non-learning BWEs have also... | null | null |
khan19_interspeech | Auto-Encoding Nearest Neighbor i-Vectors for Speaker Verification | [
"Umair Khan",
"Miquel India",
"Javier Hernando"
] | https://www.isca-archive.org/interspeech_2019/khan19_interspeech.html | https://www.isca-archive.org/interspeech_2019/khan19_interspeech.pdf | 10.21437/Interspeech.2019-1444 | 4060-4064 | @inproceedings{khan19_interspeech,
title = {{Auto-Encoding Nearest Neighbor i-Vectors for Speaker Verification}},
author = {Umair Khan and Miquel India and Javier Hernando},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4060--4064},
doi = {10.21437/Interspeech.2019-1444},
... | In the last years, i-vectors followed by cosine or PLDA scoring techniques
were the state-of-the-art approach in speaker verification. PLDA requires
labeled background data, and there exists a significant performance
gap between the two scoring techniques. In this work, we propose to
reduce this gap by using an autoenc... | null | null |
zheng19b_interspeech | Towards a Fault-Tolerant Speaker Verification System: A Regularization Approach to Reduce the Condition Number | [
"Siqi Zheng",
"Gang Liu",
"Hongbin Suo",
"Yun Lei"
] | https://www.isca-archive.org/interspeech_2019/zheng19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/zheng19b_interspeech.pdf | 10.21437/Interspeech.2019-1442 | 4065-4069 | @inproceedings{zheng19b_interspeech,
title = {{Towards a Fault-Tolerant Speaker Verification System: A Regularization Approach to Reduce the Condition Number}},
author = {Siqi Zheng and Gang Liu and Hongbin Suo and Yun Lei},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4065--4069}... | Large-scale deployment of speech interaction devices makes it possible
to harvest tremendous data quickly, which also introduces the problem
of wrong labeling during data mining. Mislabeled training data has
a substantial negative effect on the performance of speaker verification
system. This study aims to enhance the ... | null | null |
taherian19_interspeech | Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments | [
"Hassan Taherian",
"Zhong-Qiu Wang",
"DeLiang Wang"
] | https://www.isca-archive.org/interspeech_2019/taherian19_interspeech.html | https://www.isca-archive.org/interspeech_2019/taherian19_interspeech.pdf | 10.21437/Interspeech.2019-1428 | 4070-4074 | @inproceedings{taherian19_interspeech,
title = {{Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments}},
author = {Hassan Taherian and Zhong-Qiu Wang and DeLiang Wang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4070--4074},
doi = {... | Despite successful applications of multi-channel signal processing
in robust automatic speech recognition (ASR), relatively little research
has been conducted on the effectiveness of such techniques in the robust
speaker recognition domain. This paper introduces time-frequency (T-F)
masking-based beamforming to address... | null | null |
yang19g_interspeech | Joint Optimization of Neural Acoustic Beamforming and Dereverberation with x-Vectors for Robust Speaker Verification | [
"Joon-Young Yang",
"Joon-Hyuk Chang"
] | https://www.isca-archive.org/interspeech_2019/yang19g_interspeech.html | https://www.isca-archive.org/interspeech_2019/yang19g_interspeech.pdf | 10.21437/Interspeech.2019-1356 | 4075-4079 | @inproceedings{yang19g_interspeech,
title = {{Joint Optimization of Neural Acoustic Beamforming and Dereverberation with x-Vectors for Robust Speaker Verification}},
author = {Joon-Young Yang and Joon-Hyuk Chang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4075--4079},
doi ... | In this paper, we investigate the deep neural network (DNN) supported
acoustic beamforming and dereverberation as the front-end of the x-vector
speaker verification (SV) framework in a noisy and reverberant environment.
Firstly, a DNN for supporting either the classical beamforming (e.
g. MVDR) or the dereverberation (... | null | null |
miao19b_interspeech | A New Time-Frequency Attention Mechanism for TDNN and CNN-LSTM-TDNN, with Application to Language Identification | [
"Xiaoxiao Miao",
"Ian McLoughlin",
"Yonghong Yan"
] | https://www.isca-archive.org/interspeech_2019/miao19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/miao19b_interspeech.pdf | 10.21437/Interspeech.2019-1256 | 4080-4084 | @inproceedings{miao19b_interspeech,
title = {{A New Time-Frequency Attention Mechanism for TDNN and CNN-LSTM-TDNN, with Application to Language Identification}},
author = {Xiaoxiao Miao and Ian McLoughlin and Yonghong Yan},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4080--4084},... | In this paper, we aim to improve traditional DNN x-vector language
identification (LID) performance by employing Convolutional and Long
Short Term Memory-Recurrent (CLSTM) Neural Networks, as they can strengthen
feature extraction and capture longer temporal dependencies. We also
propose a two-dimensional attention mec... | null | null |
chen19n_interspeech | An Attention-Based Hybrid Network for Automatic Detection of Alzheimer’s Disease from Narrative Speech | [
"Jun Chen",
"Ji Zhu",
"Jieping Ye"
] | https://www.isca-archive.org/interspeech_2019/chen19n_interspeech.html | https://www.isca-archive.org/interspeech_2019/chen19n_interspeech.pdf | 10.21437/Interspeech.2019-2872 | 4085-4089 | @inproceedings{chen19n_interspeech,
title = {{An Attention-Based Hybrid Network for Automatic Detection of Alzheimer’s Disease from Narrative Speech}},
author = {Jun Chen and Ji Zhu and Jieping Ye},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4085--4089},
doi = {10.21437/... | Alzheimer’s disease (AD) is one of the leading causes of death
in the world and affects at least 50 million individuals. Currently,
there is no cure for the disease. So a convenient and reliable early
detection approach before irreversible brain damage and cognitive decline
have occurred is of great importance. One pro... | null | null |
ma19b_interspeech | Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition | [
"Pingchuan Ma",
"Stavros Petridis",
"Maja Pantic"
] | https://www.isca-archive.org/interspeech_2019/ma19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/ma19b_interspeech.pdf | 10.21437/Interspeech.2019-2726 | 4090-4094 | @inproceedings{ma19b_interspeech,
title = {{Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition}},
author = {Pingchuan Ma and Stavros Petridis and Maja Pantic},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4090--4094},
doi = {10.21437/I... | Several audio-visual speech recognition models have been recently proposed
which aim to improve the robustness over audio-only models in the presence
of noise. However, almost all of them ignore the impact of the Lombard
effect, i.e., the change in speaking style in noisy environments which
aims to make speech more int... | 1906.02112 | title_snapshot |
ooster19_interspeech | “Computer, Test My Hearing”: Accurate Speech Audiometry with Smart Speakers | [
"Jasper Ooster",
"Pia Nancy Porysek Moreta",
"Jörg-Hendrik Bach",
"Inga Holube",
"Bernd T. Meyer"
] | https://www.isca-archive.org/interspeech_2019/ooster19_interspeech.html | https://www.isca-archive.org/interspeech_2019/ooster19_interspeech.pdf | 10.21437/Interspeech.2019-2118 | 4095-4099 | @inproceedings{ooster19_interspeech,
title = {{“Computer, Test My Hearing”: Accurate Speech Audiometry with Smart Speakers}},
author = {Jasper Ooster and Pia Nancy Porysek Moreta and Jörg-Hendrik Bach and Inga Holube and Bernd T. Meyer},
year = {2019},
booktitle = {{Interspeech 2019}},
pages =... | Speech audiometry based on matrix sentence tests is an important diagnostic
tool for hearing impairment and fitting of hearing aids. This paper
introduces a self-conducted measurement for estimating the speech reception
threshold (SRT) of a subject, i.e., the signal-to-noise ratio corresponding
to 50% intelligibility, ... | null | null |
eshky19_interspeech | Synchronising Audio and Ultrasound by Learning Cross-Modal Embeddings | [
"Aciel Eshky",
"Manuel Sam Ribeiro",
"Korin Richmond",
"Steve Renals"
] | https://www.isca-archive.org/interspeech_2019/eshky19_interspeech.html | https://www.isca-archive.org/interspeech_2019/eshky19_interspeech.pdf | 10.21437/Interspeech.2019-1804 | 4100-4104 | @inproceedings{eshky19_interspeech,
title = {{Synchronising Audio and Ultrasound by Learning Cross-Modal Embeddings}},
author = {Aciel Eshky and Manuel Sam Ribeiro and Korin Richmond and Steve Renals},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4100--4104},
doi = {10.214... | Audiovisual synchronisation is the task of determining the time offset
between speech audio and a video recording of the articulators. In
child speech therapy, audio and ultrasound videos of the tongue are
captured using instruments which rely on hardware to synchronise the
two modalities at recording time. Hardware sy... | 1907.00758 | title_snapshot |
pan19_interspeech | Automatic Hierarchical Attention Neural Network for Detecting AD | [
"Yilin Pan",
"Bahman Mirheidari",
"Markus Reuber",
"Annalena Venneri",
"Daniel Blackburn",
"Heidi Christensen"
] | https://www.isca-archive.org/interspeech_2019/pan19_interspeech.html | https://www.isca-archive.org/interspeech_2019/pan19_interspeech.pdf | 10.21437/Interspeech.2019-1799 | 4105-4109 | @inproceedings{pan19_interspeech,
title = {{Automatic Hierarchical Attention Neural Network for Detecting AD}},
author = {Yilin Pan and Bahman Mirheidari and Markus Reuber and Annalena Venneri and Daniel Blackburn and Heidi Christensen},
year = {2019},
booktitle = {{Interspeech 2019}},
pages =... | Picture description tasks are used for the detection of cognitive decline
associated with Alzheimer’s disease (AD). Recent years have seen
work on automatic AD detection in picture descriptions based on acoustic
and word-based analysis of the speech. These methods have shown some
success but lack an ability to capture ... | null | null |
nallanthighal19_interspeech | Deep Sensing of Breathing Signal During Conversational Speech | [
"Venkata Srikanth Nallanthighal",
"Aki Härmä",
"Helmer Strik"
] | https://www.isca-archive.org/interspeech_2019/nallanthighal19_interspeech.html | https://www.isca-archive.org/interspeech_2019/nallanthighal19_interspeech.pdf | 10.21437/Interspeech.2019-1796 | 4110-4114 | @inproceedings{nallanthighal19_interspeech,
title = {{Deep Sensing of Breathing Signal During Conversational Speech}},
author = {Venkata Srikanth Nallanthighal and Aki Härmä and Helmer Strik},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4110--4114},
doi = {10.21437/Inters... | In this paper, we show the first results on the estimation of breathing
signal from conversational speech using deep learning algorithms. Respiratory
diseases such as COPD, asthma, and respiratory infections are common
in the elderly population and patients in health care monitoring and
medical alert services in genera... | null | null |
biadsy19_interspeech | Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation | [
"Fadi Biadsy",
"Ron J. Weiss",
"Pedro J. Moreno",
"Dimitri Kanvesky",
"Ye Jia"
] | https://www.isca-archive.org/interspeech_2019/biadsy19_interspeech.html | https://www.isca-archive.org/interspeech_2019/biadsy19_interspeech.pdf | 10.21437/Interspeech.2019-1789 | 4115-4119 | @inproceedings{biadsy19_interspeech,
title = {{Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation}},
author = {Fadi Biadsy and Ron J. Weiss and Pedro J. Moreno and Dimitri Kanvesky and Ye Jia},
year = {2019},
booktitle = {... | We describe Parrotron, an end-to-end-trained speech-to-speech conversion
model that maps an input spectrogram directly to another spectrogram,
without utilizing any intermediate discrete representation. The network
is composed of an encoder, spectrogram and phoneme decoders, followed
by a vocoder to synthesize a time-d... | 1904.04169 | title_snapshot |
liu19j_interspeech | Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition | [
"Shansong Liu",
"Shoukang Hu",
"Yi Wang",
"Jianwei Yu",
"Rongfeng Su",
"Xunying Liu",
"Helen Meng"
] | https://www.isca-archive.org/interspeech_2019/liu19j_interspeech.html | https://www.isca-archive.org/interspeech_2019/liu19j_interspeech.pdf | 10.21437/Interspeech.2019-1536 | 4120-4124 | @inproceedings{liu19j_interspeech,
title = {{Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition}},
author = {Shansong Liu and Shoukang Hu and Yi Wang and Jianwei Yu and Rongfeng Su and Xunying Liu and Helen Meng},
year = {2019},
booktitle = {{Interspeec... | Automatic speech recognition (ASR) for disordered speech is a challenging
task. People with speech disorders such as dysarthria often have physical
disabilities, leading to severe degradation of speech quality, highly
variable voice characteristics and large mismatch against normal speech.
It is also difficult to recor... | null | null |
vougioukas19_interspeech | Video-Driven Speech Reconstruction Using Generative Adversarial Networks | [
"Konstantinos Vougioukas",
"Pingchuan Ma",
"Stavros Petridis",
"Maja Pantic"
] | https://www.isca-archive.org/interspeech_2019/vougioukas19_interspeech.html | https://www.isca-archive.org/interspeech_2019/vougioukas19_interspeech.pdf | 10.21437/Interspeech.2019-1445 | 4125-4129 | @inproceedings{vougioukas19_interspeech,
title = {{Video-Driven Speech Reconstruction Using Generative Adversarial Networks}},
author = {Konstantinos Vougioukas and Pingchuan Ma and Stavros Petridis and Maja Pantic},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4125--4129},
doi ... | Speech is a means of communication which relies on both audio and visual
information. The absence of one modality can often lead to confusion
or misinterpretation of information. In this paper we present an end-to-end
temporal model capable of directly synthesising audio from silent video,
without needing to transform ... | 1906.06301 | title_snapshot |
liu19k_interspeech | On the Use of Pitch Features for Disordered Speech Recognition | [
"Shansong Liu",
"Shoukang Hu",
"Xunying Liu",
"Helen Meng"
] | https://www.isca-archive.org/interspeech_2019/liu19k_interspeech.html | https://www.isca-archive.org/interspeech_2019/liu19k_interspeech.pdf | 10.21437/Interspeech.2019-2609 | 4130-4134 | @inproceedings{liu19k_interspeech,
title = {{On the Use of Pitch Features for Disordered Speech Recognition}},
author = {Shansong Liu and Shoukang Hu and Xunying Liu and Helen Meng},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4130--4134},
doi = {10.21437/Interspeech.2019... | Pitch features have long been known to be useful for recognition of
normal speech. However, for disordered speech, the significant degradation
of voice quality renders the prosodic features, such as pitch, not
always useful, particularly when the underlying conditions, for example,
damages to the cerebellum, introduce ... | null | null |
shillingford19_interspeech | Large-Scale Visual Speech Recognition | [
"Brendan Shillingford",
"Yannis Assael",
"Matthew W. Hoffman",
"Thomas Paine",
"Cían Hughes",
"Utsav Prabhu",
"Hank Liao",
"Hasim Sak",
"Kanishka Rao",
"Lorrayne Bennett",
"Marie Mulville",
"Misha Denil",
"Ben Coppin",
"Ben Laurie",
"Andrew Senior",
"Nando de Freitas"
] | https://www.isca-archive.org/interspeech_2019/shillingford19_interspeech.html | https://www.isca-archive.org/interspeech_2019/shillingford19_interspeech.pdf | 10.21437/Interspeech.2019-1669 | 4135-4139 | @inproceedings{shillingford19_interspeech,
title = {{Large-Scale Visual Speech Recognition}},
author = {Brendan Shillingford and Yannis Assael and Matthew W. Hoffman and Thomas Paine and Cían Hughes and Utsav Prabhu and Hank Liao and Hasim Sak and Kanishka Rao and Lorrayne Bennett and Marie Mulville and Mish... | This work presents a scalable solution to continuous visual speech
recognition. To achieve this, we constructed the largest existing visual
speech recognition dataset, consisting of pairs of transcriptions and
video clips of faces speaking (3,886 hours of video). In tandem, we
designed and trained an integrated lipread... | 1807.05162 | title_snapshot |
razavi19_interspeech | Investigating Linguistic and Semantic Features for Turn-Taking Prediction in Open-Domain Human-Computer Conversation | [
"S. Zahra Razavi",
"Benjamin Kane",
"Lenhart K. Schubert"
] | https://www.isca-archive.org/interspeech_2019/razavi19_interspeech.html | https://www.isca-archive.org/interspeech_2019/razavi19_interspeech.pdf | 10.21437/Interspeech.2019-3152 | 4140-4144 | @inproceedings{razavi19_interspeech,
title = {{Investigating Linguistic and Semantic Features for Turn-Taking Prediction in Open-Domain Human-Computer Conversation}},
author = {S. Zahra Razavi and Benjamin Kane and Lenhart K. Schubert},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = ... | In this paper we address the problem of turn-taking prediction in open-ended
communication between humans and dialogue agents. In a non-task-oriented
interaction with dialogue agents, user inputs are apt to be grammatically
and lexically diverse, and at times quite lengthy, with many pauses;
all of this makes it harder... | null | null |
bechet19_interspeech | Benchmarking Benchmarks: Introducing New Automatic Indicators for Benchmarking Spoken Language Understanding Corpora | [
"Frédéric Béchet",
"Christian Raymond"
] | https://www.isca-archive.org/interspeech_2019/bechet19_interspeech.html | https://www.isca-archive.org/interspeech_2019/bechet19_interspeech.pdf | 10.21437/Interspeech.2019-3033 | 4145-4149 | @inproceedings{bechet19_interspeech,
title = {{Benchmarking Benchmarks: Introducing New Automatic Indicators for Benchmarking Spoken Language Understanding Corpora}},
author = {Frédéric Béchet and Christian Raymond},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4145--4149},
doi ... | Empirical evaluation is nowadays the main evaluation paradigm in Natural
Language Processing for assessing the relevance of a new machine-learning
based model. If large corpora are available for tasks such as Automatic
Speech Recognition, this is not the case for other tasks such as Spoken
Language Understanding (SLU),... | null | null |
liu19l_interspeech | A Neural Turn-Taking Model without RNN | [
"Chaoran Liu",
"Carlos Ishi",
"Hiroshi Ishiguro"
] | https://www.isca-archive.org/interspeech_2019/liu19l_interspeech.html | https://www.isca-archive.org/interspeech_2019/liu19l_interspeech.pdf | 10.21437/Interspeech.2019-2270 | 4150-4154 | @inproceedings{liu19l_interspeech,
title = {{A Neural Turn-Taking Model without RNN}},
author = {Chaoran Liu and Carlos Ishi and Hiroshi Ishiguro},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4150--4154},
doi = {10.21437/Interspeech.2019-2270},
issn = {2958-1796},
... | Sequential data such as speech and dialogs are usually modeled by Recurrent
Neural Networks (RNN) and derivatives since the information can travel
through time with such architecture. However, disadvantages exist with
the use of RNNs, including the limited depth of neural networks and
the GPU’s unfriendly training proc... | null | null |
coman19_interspeech | An Incremental Turn-Taking Model for Task-Oriented Dialog Systems | [
"Andrei C. Coman",
"Koichiro Yoshino",
"Yukitoshi Murase",
"Satoshi Nakamura",
"Giuseppe Riccardi"
] | https://www.isca-archive.org/interspeech_2019/coman19_interspeech.html | https://www.isca-archive.org/interspeech_2019/coman19_interspeech.pdf | 10.21437/Interspeech.2019-1826 | 4155-4159 | @inproceedings{coman19_interspeech,
title = {{An Incremental Turn-Taking Model for Task-Oriented Dialog Systems}},
author = {Andrei C. Coman and Koichiro Yoshino and Yukitoshi Murase and Satoshi Nakamura and Giuseppe Riccardi},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4155--41... | In a human-machine dialog scenario, deciding the appropriate time for
the machine to take the turn is an open research problem. In contrast,
humans engaged in conversations are able to timely decide when to interrupt
the speaker for competitive or non-competitive reasons. In state-of-the-art
turn-by-turn dialog system... | 1905.11806 | title_snapshot |
su19b_interspeech | Personalized Dialogue Response Generation Learned from Monologues | [
"Feng-Guang Su",
"Aliyah R. Hsu",
"Yi-Lin Tuan",
"Hung-Yi Lee"
] | https://www.isca-archive.org/interspeech_2019/su19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/su19b_interspeech.pdf | 10.21437/Interspeech.2019-1696 | 4160-4164 | @inproceedings{su19b_interspeech,
title = {{Personalized Dialogue Response Generation Learned from Monologues}},
author = {Feng-Guang Su and Aliyah R. Hsu and Yi-Lin Tuan and Hung-Yi Lee},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4160--4164},
doi = {10.21437/Interspeec... | Personalized responses are essential for having an informative and
human-like conversation. Because it is difficult to collect a large
amount of dialogues involved with specific speakers, it is desirable
that chatbot can learn to generate personalized responses simply from
monologues of individuals. In this paper, we p... | null | null |
heldner19_interspeech | Voice Quality as a Turn-Taking Cue | [
"Mattias Heldner",
"Marcin Włodarczak",
"Štefan Beňuš",
"Agustín Gravano"
] | https://www.isca-archive.org/interspeech_2019/heldner19_interspeech.html | https://www.isca-archive.org/interspeech_2019/heldner19_interspeech.pdf | 10.21437/Interspeech.2019-1592 | 4165-4169 | @inproceedings{heldner19_interspeech,
title = {{Voice Quality as a Turn-Taking Cue}},
author = {Mattias Heldner and Marcin Włodarczak and Štefan Beňuš and Agustín Gravano},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4165--4169},
doi = {10.21437/Interspeech.2019-1592},
... | This work revisits the idea that voice quality dynamics (VQ) contributes
to conveying pragmatic distinctions, with two case studies to further
test this idea. First, we explore VQ as a turn-taking cue, and then
as a cue for distinguishing between different functions of affirmative
cue words. We employ acoustic VQ measu... | null | null |
hara19_interspeech | Turn-Taking Prediction Based on Detection of Transition Relevance Place | [
"Kohei Hara",
"Koji Inoue",
"Katsuya Takanashi",
"Tatsuya Kawahara"
] | https://www.isca-archive.org/interspeech_2019/hara19_interspeech.html | https://www.isca-archive.org/interspeech_2019/hara19_interspeech.pdf | 10.21437/Interspeech.2019-1537 | 4170-4174 | @inproceedings{hara19_interspeech,
title = {{Turn-Taking Prediction Based on Detection of Transition Relevance Place}},
author = {Kohei Hara and Koji Inoue and Katsuya Takanashi and Tatsuya Kawahara},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4170--4174},
doi = {10.2143... | We address turn-taking prediction in which spoken dialogue systems
predict when to take the conversational floor. In natural conversations,
many turn-taking decisions are arbitrary and subjective. In this study,
we propose taking into account the concept of the transition relevance
place (TRP) for turn-taking predictio... | null | null |
lala19_interspeech | Analysis of Effect and Timing of Fillers in Natural Turn-Taking | [
"Divesh Lala",
"Shizuka Nakamura",
"Tatsuya Kawahara"
] | https://www.isca-archive.org/interspeech_2019/lala19_interspeech.html | https://www.isca-archive.org/interspeech_2019/lala19_interspeech.pdf | 10.21437/Interspeech.2019-1527 | 4175-4179 | @inproceedings{lala19_interspeech,
title = {{Analysis of Effect and Timing of Fillers in Natural Turn-Taking}},
author = {Divesh Lala and Shizuka Nakamura and Tatsuya Kawahara},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4175--4179},
doi = {10.21437/Interspeech.2019-1527... | Turn-taking for spoken dialogue systems is still below the speed of
real human conversation due to latency in speech and natural language
processing, but fillers can be used by the system to take the turn
more quickly without sacrificing naturalness. In this work we analyze
fillers which are used at the start of turns ... | null | null |
horiguchi19_interspeech | Multimodal Response Obligation Detection with Unsupervised Online Domain Adaptation | [
"Shota Horiguchi",
"Naoyuki Kanda",
"Kenji Nagamatsu"
] | https://www.isca-archive.org/interspeech_2019/horiguchi19_interspeech.html | https://www.isca-archive.org/interspeech_2019/horiguchi19_interspeech.pdf | 10.21437/Interspeech.2019-1313 | 4180-4184 | @inproceedings{horiguchi19_interspeech,
title = {{Multimodal Response Obligation Detection with Unsupervised Online Domain Adaptation}},
author = {Shota Horiguchi and Naoyuki Kanda and Kenji Nagamatsu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4180--4184},
doi = {10.21... | Response obligation detection, which determines whether a dialogue
robot has to respond to a detected utterance, is an important function
for intelligent dialogue robots. Some studies have tackled this problem;
however, they narrow their applicability by impractical assumptions
or use of scenario-specific features. Som... | null | null |
su19c_interspeech | Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System | [
"Ming-Hsiang Su",
"Chung-Hsien Wu",
"Yi Chang"
] | https://www.isca-archive.org/interspeech_2019/su19c_interspeech.html | https://www.isca-archive.org/interspeech_2019/su19c_interspeech.pdf | 10.21437/Interspeech.2019-1300 | 4185-4189 | @inproceedings{su19c_interspeech,
title = {{Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System}},
author = {Ming-Hsiang Su and Chung-Hsien Wu and Yi Chang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4185--4... | This study proposes an approach to follow-up question generation based
on a populated domain ontology in a conversational interview coaching
system. The purpose of this study is to generate the follow-up questions
which are more related to the meaning beyond the literal content in
the user’s answer based on the backgro... | null | null |
tran19_interspeech | On the Role of Style in Parsing Speech with Neural Models | [
"Trang Tran",
"Jiahong Yuan",
"Yang Liu",
"Mari Ostendorf"
] | https://www.isca-archive.org/interspeech_2019/tran19_interspeech.html | https://www.isca-archive.org/interspeech_2019/tran19_interspeech.pdf | 10.21437/Interspeech.2019-3122 | 4190-4194 | @inproceedings{tran19_interspeech,
title = {{On the Role of Style in Parsing Speech with Neural Models}},
author = {Trang Tran and Jiahong Yuan and Yang Liu and Mari Ostendorf},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4190--4194},
doi = {10.21437/Interspeech.2019-3122... | The differences in written text and conversational speech are substantial;
previous parsers trained on treebanked text have given very poor results
on spontaneous speech. For spoken language, the mismatch in style also
extends to prosodic cues, though it is less well understood. This paper
re-examines the use of writte... | 2010.04288 | title_snapshot |
pasad19_interspeech | On the Contributions of Visual and Textual Supervision in Low-Resource Semantic Speech Retrieval | [
"Ankita Pasad",
"Bowen Shi",
"Herman Kamper",
"Karen Livescu"
] | https://www.isca-archive.org/interspeech_2019/pasad19_interspeech.html | https://www.isca-archive.org/interspeech_2019/pasad19_interspeech.pdf | 10.21437/Interspeech.2019-3051 | 4195-4199 | @inproceedings{pasad19_interspeech,
title = {{On the Contributions of Visual and Textual Supervision in Low-Resource Semantic Speech Retrieval}},
author = {Ankita Pasad and Bowen Shi and Herman Kamper and Karen Livescu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4195--4199},
... | Recent work has shown that speech paired with images can be used to
learn semantically meaningful speech representations even without any
textual supervision. In real-world low-resource settings, however,
we often have access to some transcribed speech. We study whether and
how visual grounding is useful in the presenc... | 1904.10947 | title_snapshot |
wang19p_interspeech | Automatic Detection of Off-Topic Spoken Responses Using Very Deep Convolutional Neural Networks | [
"Xinhao Wang",
"Su-Youn Yoon",
"Keelan Evanini",
"Klaus Zechner",
"Yao Qian"
] | https://www.isca-archive.org/interspeech_2019/wang19p_interspeech.html | https://www.isca-archive.org/interspeech_2019/wang19p_interspeech.pdf | 10.21437/Interspeech.2019-1848 | 4200-4204 | @inproceedings{wang19p_interspeech,
title = {{Automatic Detection of Off-Topic Spoken Responses Using Very Deep Convolutional Neural Networks}},
author = {Xinhao Wang and Su-Youn Yoon and Keelan Evanini and Klaus Zechner and Yao Qian},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {... | Test takers in high-stakes speaking assessments may try to inflate
their scores by providing a response to a question that they are more
familiar with instead of the question presented in the test; such a
response is referred to as an off-topic spoken response. The presence
of these responses can make it difficult to a... | null | null |
piunova19_interspeech | Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings | [
"Anna Piunova",
"Eugen Beck",
"Ralf Schlüter",
"Hermann Ney"
] | https://www.isca-archive.org/interspeech_2019/piunova19_interspeech.html | https://www.isca-archive.org/interspeech_2019/piunova19_interspeech.pdf | 10.21437/Interspeech.2019-1817 | 4205-4209 | @inproceedings{piunova19_interspeech,
title = {{Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings}},
author = {Anna Piunova and Eugen Beck and Ralf Schlüter and Hermann Ney},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4205--... | Postprocessing of confidence scores in keyword search (KWS) task is
known to be an efficient way of improving retrieval performance. In
this paper, we extend the existing graph-based re-ranking algorithm
proposed for KWS score calibration. We replace the originally used
Dynamic TimeWarping (DTW) distance measure betwee... | null | null |
segal19_interspeech | SpeechYOLO: Detection and Localization of Speech Objects | [
"Yael Segal",
"Tzeviya Sylvia Fuchs",
"Joseph Keshet"
] | https://www.isca-archive.org/interspeech_2019/segal19_interspeech.html | https://www.isca-archive.org/interspeech_2019/segal19_interspeech.pdf | 10.21437/Interspeech.2019-1749 | 4210-4214 | @inproceedings{segal19_interspeech,
title = {{SpeechYOLO: Detection and Localization of Speech Objects}},
author = {Yael Segal and Tzeviya Sylvia Fuchs and Joseph Keshet},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4210--4214},
doi = {10.21437/Interspeech.2019-1749},
i... | In this paper, we propose to apply object detection methods from the
vision domain on the speech recognition domain, by treating audio fragments
as objects. More specifically, we present SpeechYOLO, which is inspired
by the YOLO algorithm [1] for object detection in images. The goal
of SpeechYOLO is to localize boundar... | 1904.07704 | title_snapshot |
oktem19_interspeech | Prosodic Phrase Alignment for Machine Dubbing | [
"Alp Öktem",
"Mireia Farrús",
"Antonio Bonafonte"
] | https://www.isca-archive.org/interspeech_2019/oktem19_interspeech.html | https://www.isca-archive.org/interspeech_2019/oktem19_interspeech.pdf | 10.21437/Interspeech.2019-1621 | 4215-4219 | @inproceedings{oktem19_interspeech,
title = {{Prosodic Phrase Alignment for Machine Dubbing}},
author = {Alp Öktem and Mireia Farrús and Antonio Bonafonte},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4215--4219},
doi = {10.21437/Interspeech.2019-1621},
issn = {295... | Dubbing is a type of audiovisual translation where dialogues are translated
and enacted so that they give the impression that the media is in the
target language. It requires a careful alignment of dubbed recordings
with the lip movements of performers in order to achieve visual coherence.
In this paper, we deal with t... | 1908.07226 | title_snapshot |
tannander19_interspeech | Spot the Pleasant People! Navigating the Cocktail Party Buzz | [
"Christina Tånnander",
"Per Fallgren",
"Jens Edlund",
"Joakim Gusafsson"
] | https://www.isca-archive.org/interspeech_2019/tannander19_interspeech.html | https://www.isca-archive.org/interspeech_2019/tannander19_interspeech.pdf | 10.21437/Interspeech.2019-1553 | 4220-4224 | @inproceedings{tannander19_interspeech,
title = {{Spot the Pleasant People! Navigating the Cocktail Party Buzz}},
author = {Christina Tånnander and Per Fallgren and Jens Edlund and Joakim Gusafsson},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4220--4224},
doi = {10.21437... | We present an experimental platform for making voice likability assessments
that are decoupled from individual voices, and instead capture voice
characteristics over groups of speakers. We employ methods that we
have previously used for other purposes to create the Cocktail platform,
where respondents navigate in a voi... | null | null |
chen19o_interspeech | Neural Text Clustering with Document-Level Attention Based on Dynamic Soft Labels | [
"Zhi Chen",
"Wu Guo",
"Li-Rong Dai",
"Zhen-Hua Ling",
"Jun Du"
] | https://www.isca-archive.org/interspeech_2019/chen19o_interspeech.html | https://www.isca-archive.org/interspeech_2019/chen19o_interspeech.pdf | 10.21437/Interspeech.2019-1417 | 4225-4229 | @inproceedings{chen19o_interspeech,
title = {{Neural Text Clustering with Document-Level Attention Based on Dynamic Soft Labels}},
author = {Zhi Chen and Wu Guo and Li-Rong Dai and Zhen-Hua Ling and Jun Du},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4225--4229},
doi = {... | In this paper, the deep learning framework is applied in text clustering,
an unsupervised task in natural language processing (NLP). Since there
are no predefined labels available for text clustering, the deep neural
network is trained in a pseudo-supervised fashion with labels generated
from pre-clustering step. To ad... | null | null |
bach19_interspeech | Noisy BiLSTM-Based Models for Disfluency Detection | [
"Nguyen Bach",
"Fei Huang"
] | https://www.isca-archive.org/interspeech_2019/bach19_interspeech.html | https://www.isca-archive.org/interspeech_2019/bach19_interspeech.pdf | 10.21437/Interspeech.2019-1336 | 4230-4234 | @inproceedings{bach19_interspeech,
title = {{Noisy BiLSTM-Based Models for Disfluency Detection}},
author = {Nguyen Bach and Fei Huang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4230--4234},
doi = {10.21437/Interspeech.2019-1336},
issn = {2958-1796},
} | This paper describes BiLSTM-based models to disfluency detection in
speech transcripts using residual BiLSTM blocks, self-attention, and
noisy training approach. Our best model not only surpasses BERT in
4 non-Switchboard test sets, but also is 20 times smaller than the
BERT-based model [1]. Thus, we demonstrate that s... | null | null |
singh19b_interspeech | Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search | [
"Mittul Singh",
"Sami Virpioja",
"Peter Smit",
"Mikko Kurimo"
] | https://www.isca-archive.org/interspeech_2019/singh19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/singh19b_interspeech.pdf | 10.21437/Interspeech.2019-1329 | 4235-4239 | @inproceedings{singh19b_interspeech,
title = {{Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search}},
author = {Mittul Singh and Sami Virpioja and Peter Smit and Mikko Kurimo},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4235--4239},
doi = {10.21437/Interspe... | In spoken Keyword Search, the query may contain out-of-vocabulary (OOV)
words not observed when training the speech recognition system. Using
subword language models (LMs) in the first-pass recognition makes it
possible to recognize the OOV words, but even the subword n-gram LMs
suffer from data sparsity. Recurrent Neu... | 2005.13827 | title_snapshot |
maekaku19_interspeech | Simultaneous Detection and Localization of a Wake-Up Word Using Multi-Task Learning of the Duration and Endpoint | [
"Takashi Maekaku",
"Yusuke Kida",
"Akihiko Sugiyama"
] | https://www.isca-archive.org/interspeech_2019/maekaku19_interspeech.html | https://www.isca-archive.org/interspeech_2019/maekaku19_interspeech.pdf | 10.21437/Interspeech.2019-1180 | 4240-4244 | @inproceedings{maekaku19_interspeech,
title = {{Simultaneous Detection and Localization of a Wake-Up Word Using Multi-Task Learning of the Duration and Endpoint}},
author = {Takashi Maekaku and Yusuke Kida and Akihiko Sugiyama},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4240--4... | This paper proposes a novel method for simultaneous detection and localization
of a wake-up word using multi-task learning of the duration and endpoint.
An onset of the wake-up word is estimated by going back in time by
an estimated duration of the wake-up word from an estimated endpoint.
Accurate endpoint estimation i... | null | null |
lee19e_interspeech | On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks | [
"Ching-Hua Lee",
"Kuan-Lin Chen",
"Fred Harris",
"Bhaskar D. Rao",
"Harinath Garudadri"
] | https://www.isca-archive.org/interspeech_2019/lee19e_interspeech.html | https://www.isca-archive.org/interspeech_2019/lee19e_interspeech.pdf | 10.21437/Interspeech.2019-3195 | 4245-4249 | @inproceedings{lee19e_interspeech,
title = {{On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks}},
author = {Ching-Hua Lee and Kuan-Lin Chen and Fred Harris and Bhaskar D. Rao and Harinath Garudadri},
year = {2019},
booktitle = {{Interspeech 2019}},
pages ... | Acoustic feedback control continues to be a challenging problem due
to the emerging form factors in advanced hearing aids (HAs) and hearables.
In this paper, we present a novel use of well-known all-pass filters
in a network to perform frequency warping that we call “freping.”
Freping helps in breaking the Nyquist stab... | null | null |
fazel19_interspeech | Deep Multitask Acoustic Echo Cancellation | [
"Amin Fazel",
"Mostafa El-Khamy",
"Jungwon Lee"
] | https://www.isca-archive.org/interspeech_2019/fazel19_interspeech.html | https://www.isca-archive.org/interspeech_2019/fazel19_interspeech.pdf | 10.21437/Interspeech.2019-2908 | 4250-4254 | @inproceedings{fazel19_interspeech,
title = {{Deep Multitask Acoustic Echo Cancellation}},
author = {Amin Fazel and Mostafa El-Khamy and Jungwon Lee},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4250--4254},
doi = {10.21437/Interspeech.2019-2908},
issn = {2958-1796... | Acoustic echo cancellation or suppression methods aim to suppress the
echo originated from acoustic coupling between loudspeakers and microphones.
Conventional approaches estimate echo using adaptive filtering. Due
to the nonlinearities in the acoustic path of far-end signal, further
post-processing is needed to attenu... | null | null |
zhang19o_interspeech | Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions | [
"Hao Zhang",
"Ke Tan",
"DeLiang Wang"
] | https://www.isca-archive.org/interspeech_2019/zhang19o_interspeech.html | https://www.isca-archive.org/interspeech_2019/zhang19o_interspeech.pdf | 10.21437/Interspeech.2019-2651 | 4255-4259 | @inproceedings{zhang19o_interspeech,
title = {{Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions}},
author = {Hao Zhang and Ke Tan and DeLiang Wang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4255--4259},
doi = {10.21437/Interspeech... | We formulate acoustic echo and noise cancellation jointly as deep learning
based speech separation, where near-end speech is separated from a
single microphone recording and sent to the far end. We propose a causal
system to address this problem, which incorporates a convolutional
recurrent network (CRN) and a recurren... | null | null |
srensen19_interspeech | Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction | [
"Charlotte Sørensen",
"Jesper B. Boldt",
"Mads G. Christensen"
] | https://www.isca-archive.org/interspeech_2019/srensen19_interspeech.html | https://www.isca-archive.org/interspeech_2019/srensen19_interspeech.pdf | 10.21437/Interspeech.2019-2929 | 4260-4264 | @inproceedings{srensen19_interspeech,
title = {{Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction}},
author = {Charlotte Sørensen and Jesper B. Boldt and Mads G. Christensen},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4260--4264},
doi = {10.21437/... | In recent years, research into objective speech intelligibility measures
has gained increased interest as a tool to optimize speech enhancement
algorithms. While most intelligibility measures are intrusive, i.e.,
they require a clean reference signal, this is rarely available in
real-time applications. This paper propo... | null | null |
mamun19b_interspeech | Convolutional Neural Network-Based Speech Enhancement for Cochlear Implant Recipients | [
"Nursadul Mamun",
"Soheil Khorram",
"John H.L. Hansen"
] | https://www.isca-archive.org/interspeech_2019/mamun19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/mamun19b_interspeech.pdf | 10.21437/Interspeech.2019-1850 | 4265-4269 | @inproceedings{mamun19b_interspeech,
title = {{Convolutional Neural Network-Based Speech Enhancement for Cochlear Implant Recipients}},
author = {Nursadul Mamun and Soheil Khorram and John H.L. Hansen},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4265--4269},
doi = {10.21... | Attempts to develop speech enhancement algorithms with improved speech
intelligibility for cochlear implant (CI) users have met with limited
success. To improve speech enhancement methods for CI users, we propose
to perform speech enhancement in a cochlear filter-bank feature space,
a feature-set specifically designed ... | 1907.02526 | title_snapshot |
srensen19b_interspeech | Validation of the Non-Intrusive Codebook-Based Short Time Objective Intelligibility Metric for Processed Speech | [
"Charlotte Sørensen",
"Jesper B. Boldt",
"Mads G. Christensen"
] | https://www.isca-archive.org/interspeech_2019/srensen19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/srensen19b_interspeech.pdf | 10.21437/Interspeech.2019-1625 | 4270-4274 | @inproceedings{srensen19b_interspeech,
title = {{Validation of the Non-Intrusive Codebook-Based Short Time Objective Intelligibility Metric for Processed Speech}},
author = {Charlotte Sørensen and Jesper B. Boldt and Mads G. Christensen},
year = {2019},
booktitle = {{Interspeech 2019}},
pages ... | In recent years, objective measures of speech intelligibility have
gained increasing interest. However, most speech intelligibility metrics
require a clean reference signal, which is often not available in real-life
applications. In a recent publication, we proposed a method, the Non-Intrusive
Codebook-based Short-Time... | null | null |
arai19_interspeech | Predicting Speech Intelligibility of Enhanced Speech Using Phone Accuracy of DNN-Based ASR System | [
"Kenichi Arai",
"Shoko Araki",
"Atsunori Ogawa",
"Keisuke Kinoshita",
"Tomohiro Nakatani",
"Katsuhiko Yamamoto",
"Toshio Irino"
] | https://www.isca-archive.org/interspeech_2019/arai19_interspeech.html | https://www.isca-archive.org/interspeech_2019/arai19_interspeech.pdf | 10.21437/Interspeech.2019-1381 | 4275-4279 | @inproceedings{arai19_interspeech,
title = {{Predicting Speech Intelligibility of Enhanced Speech Using Phone Accuracy of DNN-Based ASR System}},
author = {Kenichi Arai and Shoko Araki and Atsunori Ogawa and Keisuke Kinoshita and Tomohiro Nakatani and Katsuhiko Yamamoto and Toshio Irino},
year = {2019... | The ability of state-of-the-art automatic speech recognition (ASR)
systems, which use deep neural networks (DNN), has recently been approaching
that of human auditory systems. On the other hand, although measuring
the intelligibility of enhanced speech signals is important for developing
auditory algorithms and devices... | null | null |
bu19_interspeech | A Novel Method to Correct Steering Vectors in MVDR Beamformer for Noise Robust ASR | [
"Suliang Bu",
"Yunxin Zhao",
"Mei-Yuh Hwang"
] | https://www.isca-archive.org/interspeech_2019/bu19_interspeech.html | https://www.isca-archive.org/interspeech_2019/bu19_interspeech.pdf | 10.21437/Interspeech.2019-2944 | 4280-4284 | @inproceedings{bu19_interspeech,
title = {{A Novel Method to Correct Steering Vectors in MVDR Beamformer for Noise Robust ASR}},
author = {Suliang Bu and Yunxin Zhao and Mei-Yuh Hwang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4280--4284},
doi = {10.21437/Interspeech.2... | Accurate steering vectors (SV) are key to many beamformers. However,
reliable SV is not easy to obtain. In this work, we investigate a novel
method to identify and correct phase errors in SV for MVDR beamforming.
Our idea stems from the linear relationship in the phase of a microphone
component in narrowband SVs across... | null | null |
lee19f_interspeech | End-to-End Multi-Channel Speech Enhancement Using Inter-Channel Time-Restricted Attention on Raw Waveform | [
"Hyeonseung Lee",
"Hyung Yong Kim",
"Woo Hyun Kang",
"Jeunghun Kim",
"Nam Soo Kim"
] | https://www.isca-archive.org/interspeech_2019/lee19f_interspeech.html | https://www.isca-archive.org/interspeech_2019/lee19f_interspeech.pdf | 10.21437/Interspeech.2019-2397 | 4285-4289 | @inproceedings{lee19f_interspeech,
title = {{End-to-End Multi-Channel Speech Enhancement Using Inter-Channel Time-Restricted Attention on Raw Waveform}},
author = {Hyeonseung Lee and Hyung Yong Kim and Woo Hyun Kang and Jeunghun Kim and Nam Soo Kim},
year = {2019},
booktitle = {{Interspeech 2019}},
... | This paper describes a novel waveform-level end-to-end model for multi-channel
speech enhancement. The model first extracts sample-level speech embedding
using channel-wise convolutional neural network (CNN) and compensates
time-delays between the channels based on the embedding, resulting
in time-aligned multi-channel... | null | null |
gu19b_interspeech | Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information | [
"Rongzhi Gu",
"Lianwu Chen",
"Shi-Xiong Zhang",
"Jimeng Zheng",
"Yong Xu",
"Meng Yu",
"Dan Su",
"Yuexian Zou",
"Dong Yu"
] | https://www.isca-archive.org/interspeech_2019/gu19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/gu19b_interspeech.pdf | 10.21437/Interspeech.2019-2266 | 4290-4294 | @inproceedings{gu19b_interspeech,
title = {{Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information}},
author = {Rongzhi Gu and Lianwu Chen and Shi-Xiong Zhang and Jimeng Zheng and Yong Xu and Meng Yu and Dan Su and Yuexian Zou and Dong Yu},
year = {2019},
bookt... | The recent exploration of deep learning for supervised speech separation
has significantly accelerated the progress on the multi-talker speech
separation problem. The multi-channel approaches have attracted much
research attention due to the benefit of spatial information. In this
paper, integrated with the power spect... | null | null |
afouras19_interspeech | My Lips Are Concealed: Audio-Visual Speech Enhancement Through Obstructions | [
"Triantafyllos Afouras",
"Joon Son Chung",
"Andrew Zisserman"
] | https://www.isca-archive.org/interspeech_2019/afouras19_interspeech.html | https://www.isca-archive.org/interspeech_2019/afouras19_interspeech.pdf | 10.21437/Interspeech.2019-3114 | 4295-4299 | @inproceedings{afouras19_interspeech,
title = {{My Lips Are Concealed: Audio-Visual Speech Enhancement Through Obstructions}},
author = {Triantafyllos Afouras and Joon Son Chung and Andrew Zisserman},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4295--4299},
doi = {10.2143... | Our objective is an audio-visual model for separating a single speaker
from a mixture of sounds such as other speakers and background noise.
Moreover, we wish to hear the speaker even when the visual cues are
temporarily absent due to occlusion. To this end we introduce
a deep audio-visual speech enhancement network th... | 1907.04975 | title_snapshot |
fujita19_interspeech | End-to-End Neural Speaker Diarization with Permutation-Free Objectives | [
"Yusuke Fujita",
"Naoyuki Kanda",
"Shota Horiguchi",
"Kenji Nagamatsu",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2019/fujita19_interspeech.html | https://www.isca-archive.org/interspeech_2019/fujita19_interspeech.pdf | 10.21437/Interspeech.2019-2899 | 4300-4304 | @inproceedings{fujita19_interspeech,
title = {{End-to-End Neural Speaker Diarization with Permutation-Free Objectives}},
author = {Yusuke Fujita and Naoyuki Kanda and Shota Horiguchi and Kenji Nagamatsu and Shinji Watanabe},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4300--4304}... | In this paper, we propose a novel end-to-end neural-network-based speaker
diarization method. Unlike most existing methods, our proposed method
does not have separate modules for extraction and clustering of speaker
representations. Instead, our model has a single neural network that
directly outputs speaker diarizatio... | 1909.05952 | title_snapshot |
india19_interspeech | Self Multi-Head Attention for Speaker Recognition | [
"Miquel India",
"Pooyan Safari",
"Javier Hernando"
] | https://www.isca-archive.org/interspeech_2019/india19_interspeech.html | https://www.isca-archive.org/interspeech_2019/india19_interspeech.pdf | 10.21437/Interspeech.2019-2616 | 4305-4309 | @inproceedings{india19_interspeech,
title = {{Self Multi-Head Attention for Speaker Recognition}},
author = {Miquel India and Pooyan Safari and Javier Hernando},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4305--4309},
doi = {10.21437/Interspeech.2019-2616},
issn =... | Most state-of-the-art Deep Learning (DL) approaches for speaker recognition
work on a short utterance level. Given the speech signal, these algorithms
extract a sequence of speaker embeddings from short segments and those
are averaged to obtain an utterance level speaker representation. In
this work we propose the use ... | 1906.09890 | title_snapshot |
vinals19b_interspeech | Phonetically-Aware Embeddings, Wide Residual Networks with Time-Delay Neural Networks and Self Attention Models for the 2018 NIST Speaker Recognition Evaluation | [
"Ignacio Viñals",
"Dayana Ribas",
"Victoria Mingote",
"Jorge Llombart",
"Pablo Gimeno",
"Antonio Miguel",
"Alfonso Ortega",
"Eduardo Lleida"
] | https://www.isca-archive.org/interspeech_2019/vinals19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/vinals19b_interspeech.pdf | 10.21437/Interspeech.2019-2417 | 4310-4314 | @inproceedings{vinals19b_interspeech,
title = {{Phonetically-Aware Embeddings, Wide Residual Networks with Time-Delay Neural Networks and Self Attention Models for the 2018 NIST Speaker Recognition Evaluation}},
author = {Ignacio Viñals and Dayana Ribas and Victoria Mingote and Jorge Llombart and Pablo Gimen... | Very often, speaker recognition systems do not take into account phonetic
information explicitly. In order to gain insight along this line of
research, we have studied the use of phonetic information in the embedding
extraction process for automatic speaker verification systems in two
different ways: on the one hand us... | null | null |
tu19_interspeech | Variational Domain Adversarial Learning for Speaker Verification | [
"Youzhi Tu",
"Man-Wai Mak",
"Jen-Tzung Chien"
] | https://www.isca-archive.org/interspeech_2019/tu19_interspeech.html | https://www.isca-archive.org/interspeech_2019/tu19_interspeech.pdf | 10.21437/Interspeech.2019-2168 | 4315-4319 | @inproceedings{tu19_interspeech,
title = {{Variational Domain Adversarial Learning for Speaker Verification}},
author = {Youzhi Tu and Man-Wai Mak and Jen-Tzung Chien},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4315--4319},
doi = {10.21437/Interspeech.2019-2168},
issn... | Domain mismatch refers to the problem in which the distribution of
training data differs from that of the test data. This paper proposes
a variational domain adversarial neural network (VDANN), which consists
of a variational autoencoder (VAE) and a domain adversarial neural
network (DANN), to reduce domain mismatch. T... | null | null |
liu19m_interspeech | A Unified Framework for Speaker and Utterance Verification | [
"Tianchi Liu",
"Maulik Madhavi",
"Rohan Kumar Das",
"Haizhou Li"
] | https://www.isca-archive.org/interspeech_2019/liu19m_interspeech.html | https://www.isca-archive.org/interspeech_2019/liu19m_interspeech.pdf | 10.21437/Interspeech.2019-1994 | 4320-4324 | @inproceedings{liu19m_interspeech,
title = {{A Unified Framework for Speaker and Utterance Verification}},
author = {Tianchi Liu and Maulik Madhavi and Rohan Kumar Das and Haizhou Li},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4320--4324},
doi = {10.21437/Interspeech.20... | Speaker and utterance verification are two tasks that co-exist in text-dependent
speaker verification (SV), where a phrase of the same lexical information
is spoken during train and test sessions. The conventional approaches
mostly verify the speaker and the utterance separately using two models.
While there are studie... | null | null |
nandwana19c_interspeech | Analysis of Critical Metadata Factors for the Calibration of Speaker Recognition Systems | [
"Mahesh Kumar Nandwana",
"Luciana Ferrer",
"Mitchell McLaren",
"Diego Castan",
"Aaron Lawson"
] | https://www.isca-archive.org/interspeech_2019/nandwana19c_interspeech.html | https://www.isca-archive.org/interspeech_2019/nandwana19c_interspeech.pdf | 10.21437/Interspeech.2019-1808 | 4325-4329 | @inproceedings{nandwana19c_interspeech,
title = {{Analysis of Critical Metadata Factors for the Calibration of Speaker Recognition Systems}},
author = {Mahesh Kumar Nandwana and Luciana Ferrer and Mitchell McLaren and Diego Castan and Aaron Lawson},
year = {2019},
booktitle = {{Interspeech 2019}},
... | In this paper, we analyze and assess the impact of critical metadata
factors on the calibration performance of speaker recognition systems.
In particular, we study the effect of duration, distance, language,
and gender by using a variety of datasets and systematically varying
the conditions in the evaluation and calibr... | null | null |
novotny19_interspeech | Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition | [
"Ondřej Novotný",
"Oldřich Plchot",
"Ondřej Glembek",
"Lukáš Burget"
] | https://www.isca-archive.org/interspeech_2019/novotny19_interspeech.html | https://www.isca-archive.org/interspeech_2019/novotny19_interspeech.pdf | 10.21437/Interspeech.2019-1757 | 4330-4334 | @inproceedings{novotny19_interspeech,
title = {{Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition}},
author = {Ondřej Novotný and Oldřich Plchot and Ondřej Glembek and Lukáš Burget},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4330--4334},
doi... | In this work, we continue in our research on i-vector extractor for
speaker verification (SV) and we optimize its architecture for fast
and effective discriminative training. We were motivated by computational
and memory requirements caused by the large number of parameters of
the original generative i-vector model. Ou... | 1904.04235 | title_snapshot |
salvati19_interspeech | End-to-End Speaker Identification in Noisy and Reverberant Environments Using Raw Waveform Convolutional Neural Networks | [
"Daniele Salvati",
"Carlo Drioli",
"Gian Luca Foresti"
] | https://www.isca-archive.org/interspeech_2019/salvati19_interspeech.html | https://www.isca-archive.org/interspeech_2019/salvati19_interspeech.pdf | 10.21437/Interspeech.2019-2403 | 4335-4339 | @inproceedings{salvati19_interspeech,
title = {{End-to-End Speaker Identification in Noisy and Reverberant Environments Using Raw Waveform Convolutional Neural Networks}},
author = {Daniele Salvati and Carlo Drioli and Gian Luca Foresti},
year = {2019},
booktitle = {{Interspeech 2019}},
pages ... | Convolutional neural network (CNN) models are being investigated extensively
in the field of speech and speaker recognition, and are rapidly gaining
appreciation due to their performance robustness and effective training
strategies. Recently, they are also providing interesting results in
end-to-end configurations usin... | null | null |
naini19_interspeech | Whisper to Neutral Mapping Using Cosine Similarity Maximization in i-Vector Space for Speaker Verification | [
"Abinay Reddy Naini",
"Achuth Rao M.V.",
"Prasanta Kumar Ghosh"
] | https://www.isca-archive.org/interspeech_2019/naini19_interspeech.html | https://www.isca-archive.org/interspeech_2019/naini19_interspeech.pdf | 10.21437/Interspeech.2019-2280 | 4340-4344 | @inproceedings{naini19_interspeech,
title = {{Whisper to Neutral Mapping Using Cosine Similarity Maximization in i-Vector Space for Speaker Verification}},
author = {Abinay Reddy Naini and Achuth Rao M.V. and Prasanta Kumar Ghosh},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4340... | In this work, we propose a novel feature mapping (FM) from whispered
to neutral speech features using a cosine similarity based objective
function for speaker verification (SV) using whispered speech. Typically
the performance of an SV system enrolled with neutral speech degrades
significantly when tested using whisper... | null | null |
zhu19b_interspeech | Mixup Learning Strategies for Text-Independent Speaker Verification | [
"Yingke Zhu",
"Tom Ko",
"Brian Mak"
] | https://www.isca-archive.org/interspeech_2019/zhu19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/zhu19b_interspeech.pdf | 10.21437/Interspeech.2019-2250 | 4345-4349 | @inproceedings{zhu19b_interspeech,
title = {{Mixup Learning Strategies for Text-Independent Speaker Verification}},
author = {Yingke Zhu and Tom Ko and Brian Mak},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4345--4349},
doi = {10.21437/Interspeech.2019-2250},
issn ... | Mixup is a learning strategy that constructs additional virtual training
samples from existing training samples by linearly interpolating random
pairs of them. It has been shown that mixup can help avoid data memorization
and thus improve model generalization. This paper investigates the
mixup learning strategy in trai... | null | null |
ferrer19_interspeech | Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization | [
"Luciana Ferrer",
"Mitchell McLaren"
] | https://www.isca-archive.org/interspeech_2019/ferrer19_interspeech.html | https://www.isca-archive.org/interspeech_2019/ferrer19_interspeech.pdf | 10.21437/Interspeech.2019-1820 | 4350-4354 | @inproceedings{ferrer19_interspeech,
title = {{Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization}},
author = {Luciana Ferrer and Mitchell McLaren},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4350--4354},
doi = {10.21437/Interspeech.2019-1820}... | State-of-the-art speaker verification systems use deep neural networks
(DNN) to extract highly discriminant representations of the samples,
commonly called speaker embeddings. The networks are trained to maximize
the cross-entropy between the estimated posteriors and the speaker
labels. The pre-activations from one of ... | null | null |
lee19g_interspeech | The NEC-TT 2018 Speaker Verification System | [
"Kong Aik Lee",
"Hitoshi Yamamoto",
"Koji Okabe",
"Qiongqiong Wang",
"Ling Guo",
"Takafumi Koshinaka",
"Jiacen Zhang",
"Koichi Shinoda"
] | https://www.isca-archive.org/interspeech_2019/lee19g_interspeech.html | https://www.isca-archive.org/interspeech_2019/lee19g_interspeech.pdf | 10.21437/Interspeech.2019-1517 | 4355-4359 | @inproceedings{lee19g_interspeech,
title = {{The NEC-TT 2018 Speaker Verification System}},
author = {Kong Aik Lee and Hitoshi Yamamoto and Koji Okabe and Qiongqiong Wang and Ling Guo and Takafumi Koshinaka and Jiacen Zhang and Koichi Shinoda},
year = {2019},
booktitle = {{Interspeech 2019}},
page... | This paper describes the NEC-TT speaker verification system for the
2018 NIST speaker recognition evaluation (SRE’18). We present
the details of data partitioning, x-vector speaker embedding, data
augmentation, speaker diarization, and domain adaptation techniques
used in NEC-TT SRE’18 speaker verification system. For... | null | null |
zheng19c_interspeech | Autoencoder-Based Semi-Supervised Curriculum Learning for Out-of-Domain Speaker Verification | [
"Siqi Zheng",
"Gang Liu",
"Hongbin Suo",
"Yun Lei"
] | https://www.isca-archive.org/interspeech_2019/zheng19c_interspeech.html | https://www.isca-archive.org/interspeech_2019/zheng19c_interspeech.pdf | 10.21437/Interspeech.2019-1440 | 4360-4364 | @inproceedings{zheng19c_interspeech,
title = {{Autoencoder-Based Semi-Supervised Curriculum Learning for Out-of-Domain Speaker Verification}},
author = {Siqi Zheng and Gang Liu and Hongbin Suo and Yun Lei},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4360--4364},
doi = {1... | This study aims to improve the performance of speaker verification
system when no labeled out-of-domain data is available. An autoencoder-based
semi-supervised curriculum learning scheme is proposed to automatically
cluster unlabeled data and iteratively update the corpus during training.
This new training scheme allow... | null | null |
cai19d_interspeech | Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment | [
"Danwei Cai",
"Xiaoyi Qin",
"Ming Li"
] | https://www.isca-archive.org/interspeech_2019/cai19d_interspeech.html | https://www.isca-archive.org/interspeech_2019/cai19d_interspeech.pdf | 10.21437/Interspeech.2019-1437 | 4365-4369 | @inproceedings{cai19d_interspeech,
title = {{Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment}},
author = {Danwei Cai and Xiaoyi Qin and Ming Li},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4365--4369},
doi = {10.21437/Int... | Despite the significant improvements in speaker recognition enabled
by deep neural networks, unsatisfactory performance persists under
far-field scenarios due to the effects of the long range fading, room
reverberation, and environmental noises. In this study, we focus on
far-field speaker recognition with a microphone... | null | null |
cai19e_interspeech | The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation | [
"Danwei Cai",
"Weicheng Cai",
"Ming Li"
] | https://www.isca-archive.org/interspeech_2019/cai19e_interspeech.html | https://www.isca-archive.org/interspeech_2019/cai19e_interspeech.pdf | 10.21437/Interspeech.2019-1436 | 4370-4374 | @inproceedings{cai19e_interspeech,
title = {{The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation}},
author = {Danwei Cai and Weicheng Cai and Ming Li},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4370--4374},
doi = {10.21437/Interspeech.2019-1436},
issn ... | In this paper, we present the system submission for the NIST 2018 Speaker
Recognition Evaluation by DKU Speech and Multi-Modal Intelligent Information
Processing (SMIIP) Lab. We explore various kinds of state-of-the-art
front-end extractors as well as back-end modeling for text-independent
speaker verifications. Our su... | 1907.02191 | title_snapshot |
wiesner19_interspeech | Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings | [
"Matthew Wiesner",
"Adithya Renduchintala",
"Shinji Watanabe",
"Chunxi Liu",
"Najim Dehak",
"Sanjeev Khudanpur"
] | https://www.isca-archive.org/interspeech_2019/wiesner19_interspeech.html | https://www.isca-archive.org/interspeech_2019/wiesner19_interspeech.pdf | 10.21437/Interspeech.2019-3254 | 4375-4379 | @inproceedings{wiesner19_interspeech,
title = {{Pretraining by Backtranslation for End-to-End ASR in Low-Resource Settings}},
author = {Matthew Wiesner and Adithya Renduchintala and Shinji Watanabe and Chunxi Liu and Najim Dehak and Sanjeev Khudanpur},
year = {2019},
booktitle = {{Interspeech 2019}}... | We explore training attention-based encoder-decoder ASR in low-resource
settings. These models perform poorly when trained on small amounts
of transcribed speech, in part because they depend on having sufficient
target-side text to train the attention and decoder networks. In this
paper we address this shortcoming by p... | 1812.03919 | title_snapshot |
kim19b_interspeech | Cross-Attention End-to-End ASR for Two-Party Conversations | [
"Suyoun Kim",
"Siddharth Dalmia",
"Florian Metze"
] | https://www.isca-archive.org/interspeech_2019/kim19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/kim19b_interspeech.pdf | 10.21437/Interspeech.2019-3173 | 4380-4384 | @inproceedings{kim19b_interspeech,
title = {{Cross-Attention End-to-End ASR for Two-Party Conversations}},
author = {Suyoun Kim and Siddharth Dalmia and Florian Metze},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4380--4384},
doi = {10.21437/Interspeech.2019-3173},
issn... | We present an end-to-end speech recognition model that learns interaction
between two speakers based on the turn-changing information. Unlike
conventional speech recognition models, our model exploits two speakers
history of conversational-context information that spans across multiple
turns within an end-to-end framew... | 1907.10726 | title_snapshot |
chorowski19_interspeech | Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees | [
"Jan Chorowski",
"Adrian Łańcucki",
"Bartosz Kostka",
"Michał Zapotoczny"
] | https://www.isca-archive.org/interspeech_2019/chorowski19_interspeech.html | https://www.isca-archive.org/interspeech_2019/chorowski19_interspeech.pdf | 10.21437/Interspeech.2019-2720 | 4385-4389 | @inproceedings{chorowski19_interspeech,
title = {{Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees}},
author = {Jan Chorowski and Adrian Łańcucki and Bartosz Kostka and Michał Zapotoczny},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4385--4389},
... | Deep neural acoustic models benefit from context-dependent (CD) modeling
of output symbols. We consider direct training of CTC networks with
CD outputs, and identify two issues. The first one is frame-level normalization
of probabilities in CTC, which induces strong language modeling behavior
that leads to overfitting ... | 1901.04379 | title_snapshot |
fan19b_interspeech | An Online Attention-Based Model for Speech Recognition | [
"Ruchao Fan",
"Pan Zhou",
"Wei Chen",
"Jia Jia",
"Gang Liu"
] | https://www.isca-archive.org/interspeech_2019/fan19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/fan19b_interspeech.pdf | 10.21437/Interspeech.2019-2218 | 4390-4394 | @inproceedings{fan19b_interspeech,
title = {{An Online Attention-Based Model for Speech Recognition}},
author = {Ruchao Fan and Pan Zhou and Wei Chen and Jia Jia and Gang Liu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4390--4394},
doi = {10.21437/Interspeech.2019-2218}... | Attention-based end-to-end models such as Listen, Attend and Spell
(LAS), simplify the whole pipeline of traditional automatic speech
recognition (ASR) systems and become popular in the field of speech
recognition. In previous work, researchers have shown that such architectures
can acquire comparable results to state-... | 1811.05247 | title_snapshot |
tian19b_interspeech | Self-Attention Transducers for End-to-End Speech Recognition | [
"Zhengkun Tian",
"Jiangyan Yi",
"Jianhua Tao",
"Ye Bai",
"Zhengqi Wen"
] | https://www.isca-archive.org/interspeech_2019/tian19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/tian19b_interspeech.pdf | 10.21437/Interspeech.2019-2203 | 4395-4399 | @inproceedings{tian19b_interspeech,
title = {{Self-Attention Transducers for End-to-End Speech Recognition}},
author = {Zhengkun Tian and Jiangyan Yi and Jianhua Tao and Ye Bai and Zhengqi Wen},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4395--4399},
doi = {10.21437/Inte... | Recurrent neural network transducers (RNN-T) have been successfully
applied in end-to-end speech recognition. However, the recurrent structure
makes it difficult for parallelization. In this paper, we propose a
self-attention transducer (SA-T) for speech recognition. RNNs are replaced
with self-attention blocks, which ... | 1909.13037 | title_snapshot |
li19u_interspeech | Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation | [
"Sheng Li",
"Dabre Raj",
"Xugang Lu",
"Peng Shen",
"Tatsuya Kawahara",
"Hisashi Kawai"
] | https://www.isca-archive.org/interspeech_2019/li19u_interspeech.html | https://www.isca-archive.org/interspeech_2019/li19u_interspeech.pdf | 10.21437/Interspeech.2019-2112 | 4400-4404 | @inproceedings{li19u_interspeech,
title = {{Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation}},
author = {Sheng Li and Dabre Raj and Xugang Lu and Peng Shen and Tatsuya Kawahara and Hisashi Kawai},
year = {2019},
booktitle = {{Inters... | The end-to-end (E2E) model allows for training of automatic speech
recognition (ASR) systems without having to consider the acoustic model,
lexicon, language model and complicated decoding algorithms, which
are integral to conventional ASR systems. Recently, the transformer-based
E2E ASR model (ASR-Transformer) showed ... | null | null |
bang19_interspeech | Extending an Acoustic Data-Driven Phone Set for Spontaneous Speech Recognition | [
"Jeong-Uk Bang",
"Mu-Yeol Choi",
"Sang-Hun Kim",
"Oh-Wook Kwon"
] | https://www.isca-archive.org/interspeech_2019/bang19_interspeech.html | https://www.isca-archive.org/interspeech_2019/bang19_interspeech.pdf | 10.21437/Interspeech.2019-1979 | 4405-4409 | @inproceedings{bang19_interspeech,
title = {{Extending an Acoustic Data-Driven Phone Set for Spontaneous Speech Recognition}},
author = {Jeong-Uk Bang and Mu-Yeol Choi and Sang-Hun Kim and Oh-Wook Kwon},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4405--4409},
doi = {10.2... | In this paper, we propose a method to extend a phone set by using a
large amount of Korean broadcast data to improve the performance of
spontaneous speech recognition. The proposed method first extracts
variable-length phoneme-level segments from broadcast data, and then
converts them into fixed-length latent vectors b... | null | null |
moriya19_interspeech | Joint Maximization Decoder with Neural Converters for Fully Neural Network-Based Japanese Speech Recognition | [
"Takafumi Moriya",
"Jian Wang",
"Tomohiro Tanaka",
"Ryo Masumura",
"Yusuke Shinohara",
"Yoshikazu Yamaguchi",
"Yushi Aono"
] | https://www.isca-archive.org/interspeech_2019/moriya19_interspeech.html | https://www.isca-archive.org/interspeech_2019/moriya19_interspeech.pdf | 10.21437/Interspeech.2019-1558 | 4410-4414 | @inproceedings{moriya19_interspeech,
title = {{Joint Maximization Decoder with Neural Converters for Fully Neural Network-Based Japanese Speech Recognition}},
author = {Takafumi Moriya and Jian Wang and Tomohiro Tanaka and Ryo Masumura and Yusuke Shinohara and Yoshikazu Yamaguchi and Yushi Aono},
year ... | We present a novel fully neural network (FNN) -based automatic speech
recognition (ASR) system that addresses the out-of-vocabulary (OOV)
problem. The most common approach to the OOV problem is leveraging
character/sub-word level units as output symbols. Unfortunately, this
approach is not suitable for Japanese and Man... | null | null |
parcollet19b_interspeech | Real to H-Space Encoder for Speech Recognition | [
"Titouan Parcollet",
"Mohamed Morchid",
"Georges Linarès",
"Renato De Mori"
] | https://www.isca-archive.org/interspeech_2019/parcollet19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/parcollet19b_interspeech.pdf | 10.21437/Interspeech.2019-1539 | 4415-4419 | @inproceedings{parcollet19b_interspeech,
title = {{Real to H-Space Encoder for Speech Recognition}},
author = {Titouan Parcollet and Mohamed Morchid and Georges Linarès and Renato De Mori},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4415--4419},
doi = {10.21437/Interspee... | Deep neural networks (DNNs) and more precisely recurrent neural networks
(RNNs) are at the core of modern automatic speech recognition systems,
due to their efficiency to process input sequences. Recently, it has
been shown that different input representations, based on multidimensional
algebras, such as complex and qu... | 1906.08043 | title_snapshot |
yi19b_interspeech | Ectc-Docd: An End-to-End Structure with CTC Encoder and OCD Decoder for Speech Recognition | [
"Cheng Yi",
"Feng Wang",
"Bo Xu"
] | https://www.isca-archive.org/interspeech_2019/yi19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/yi19b_interspeech.pdf | 10.21437/Interspeech.2019-1212 | 4420-4424 | @inproceedings{yi19b_interspeech,
title = {{ Ectc-Docd: An End-to-End Structure with CTC Encoder and OCD Decoder for Speech Recognition}},
author = {Cheng Yi and Feng Wang and Bo Xu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4420--4424},
doi = {10.21437/Interspeech.201... | Real-time streaming speech recognition is required by most applications
for a nice interactive experience. To naturally support online recognition,
a common strategy used in recently proposed end-to-end models is to
introduce a blank label to the label set and instead output alignments.
However, generating the alignmen... | null | null |
denisov19_interspeech | End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning | [
"Pavel Denisov",
"Ngoc Thang Vu"
] | https://www.isca-archive.org/interspeech_2019/denisov19_interspeech.html | https://www.isca-archive.org/interspeech_2019/denisov19_interspeech.pdf | 10.21437/Interspeech.2019-1130 | 4425-4429 | @inproceedings{denisov19_interspeech,
title = {{End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning}},
author = {Pavel Denisov and Ngoc Thang Vu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4425--4429},
doi = {10.21437/Interspeech.2... | This paper presents our latest investigation on end-to-end automatic
speech recognition (ASR) for overlapped speech. We propose to train
an end-to-end system conditioned on speaker embeddings and further
improved by transfer learning from clean speech. This proposed framework
does not require any parallel non-overlappe... | 1908.04737 | title_snapshot |
hayashi19_interspeech | Pre-Trained Text Embeddings for Enhanced Text-to-Speech Synthesis | [
"Tomoki Hayashi",
"Shinji Watanabe",
"Tomoki Toda",
"Kazuya Takeda",
"Shubham Toshniwal",
"Karen Livescu"
] | https://www.isca-archive.org/interspeech_2019/hayashi19_interspeech.html | https://www.isca-archive.org/interspeech_2019/hayashi19_interspeech.pdf | 10.21437/Interspeech.2019-3177 | 4430-4434 | @inproceedings{hayashi19_interspeech,
title = {{Pre-Trained Text Embeddings for Enhanced Text-to-Speech Synthesis}},
author = {Tomoki Hayashi and Shinji Watanabe and Tomoki Toda and Kazuya Takeda and Shubham Toshniwal and Karen Livescu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages =... | We propose an end-to-end text-to-speech (TTS) synthesis model that
explicitly uses information from pre-trained embeddings of the text.
Recent work in natural language processing has developed self-supervised
representations of text that have proven very effective as pre-training
for language understanding tasks. We pr... | null | null |
szekely19b_interspeech | Spontaneous Conversational Speech Synthesis from Found Data | [
"Éva Székely",
"Gustav Eje Henter",
"Jonas Beskow",
"Joakim Gustafson"
] | https://www.isca-archive.org/interspeech_2019/szekely19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/szekely19b_interspeech.pdf | 10.21437/Interspeech.2019-2836 | 4435-4439 | @inproceedings{szekely19b_interspeech,
title = {{Spontaneous Conversational Speech Synthesis from Found Data}},
author = {Éva Székely and Gustav Eje Henter and Jonas Beskow and Joakim Gustafson},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4435--4439},
doi = {10.21437/Int... | Synthesising spontaneous speech is a difficult task due to disfluencies,
high variability and syntactic conventions different from those of
written language. Using found data, as opposed to lab-recorded conversations,
for speech synthesis adds to these challenges because of overlapping
speech and the lack of control ov... | null | null |
klimkov19_interspeech | Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech | [
"Viacheslav Klimkov",
"Srikanth Ronanki",
"Jonas Rohnke",
"Thomas Drugman"
] | https://www.isca-archive.org/interspeech_2019/klimkov19_interspeech.html | https://www.isca-archive.org/interspeech_2019/klimkov19_interspeech.pdf | 10.21437/Interspeech.2019-2571 | 4440-4444 | @inproceedings{klimkov19_interspeech,
title = {{Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech}},
author = {Viacheslav Klimkov and Srikanth Ronanki and Jonas Rohnke and Thomas Drugman},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4440--4444},
doi ... | We present a neural text-to-speech system for fine-grained prosody
transfer from one speaker to another. Conventional approaches for end-to-end
prosody transfer typically use either fixed-dimensional or variable-length
prosody embedding via a secondary attention to encode the reference
signal. However, when trained on ... | 1907.02479 | title_snapshot |
hussain19_interspeech | Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction | [
"Nusrah Hussain",
"Engin Erzin",
"T. Metin Sezgin",
"Yücel Yemez"
] | https://www.isca-archive.org/interspeech_2019/hussain19_interspeech.html | https://www.isca-archive.org/interspeech_2019/hussain19_interspeech.pdf | 10.21437/Interspeech.2019-2521 | 4445-4449 | @inproceedings{hussain19_interspeech,
title = {{Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction}},
author = {Nusrah Hussain and Engin Erzin and T. Metin Sezgin and Yücel Yemez},
year = {2019},
booktitle = {{Interspeech 2019}},
pages ... | We present a novel method for training a social robot to generate backchannels
during human-robot interaction. We address the problem within an off-policy
reinforcement learning framework, and show how a robot may learn to
produce non-verbal backchannels like laughs, when trained to maximize
the engagement and attentio... | 1908.01618 | title_snapshot |
koriyama19_interspeech | Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model | [
"Tomoki Koriyama",
"Takao Kobayashi"
] | https://www.isca-archive.org/interspeech_2019/koriyama19_interspeech.html | https://www.isca-archive.org/interspeech_2019/koriyama19_interspeech.pdf | 10.21437/Interspeech.2019-2497 | 4450-4454 | @inproceedings{koriyama19_interspeech,
title = {{Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model}},
author = {Tomoki Koriyama and Takao Kobayashi},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4450--4454},
doi = {10.21437/Interspeech.2019... | This paper proposes a semi-supervised speech synthesis framework in
which prosodic labels of training data are partially annotated. When
we construct a text-to-speech (TTS) system, it is crucial to use appropriately
annotated prosodic labels. For this purpose, manually annotated ones
would provide a good result, but it... | null | null |
nikulasdottir19_interspeech | Bootstrapping a Text Normalization System for an Inflected Language. Numbers as a Test Case | [
"Anna Björk Nikulásdóttir",
"Jón Guðnason"
] | https://www.isca-archive.org/interspeech_2019/nikulasdottir19_interspeech.html | https://www.isca-archive.org/interspeech_2019/nikulasdottir19_interspeech.pdf | 10.21437/Interspeech.2019-2367 | 4455-4459 | @inproceedings{nikulasdottir19_interspeech,
title = {{Bootstrapping a Text Normalization System for an Inflected Language. Numbers as a Test Case}},
author = {Anna Björk Nikulásdóttir and Jón Guðnason},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4455--4459},
doi = {10.21... | Text normalization is an important part of many natural language applications,
in particular for text-to-speech systems. Text normalization poses
special challenges for highly inflected languages since the correct
morphological form for the normalization is not evident from the non-standard
word, e.g. a digit. In this ... | null | null |
guo19e_interspeech | Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS | [
"Haohan Guo",
"Frank K. Soong",
"Lei He",
"Lei Xie"
] | https://www.isca-archive.org/interspeech_2019/guo19e_interspeech.html | https://www.isca-archive.org/interspeech_2019/guo19e_interspeech.pdf | 10.21437/Interspeech.2019-2167 | 4460-4464 | @inproceedings{guo19e_interspeech,
title = {{Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS}},
author = {Haohan Guo and Frank K. Soong and Lei He and Lei Xie},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4460--4464},
doi = {10.21437/Interspeech.2... | The end-to-end TTS, which can predict speech directly from a given
sequence of graphemes or phonemes, has shown improved performance over
the conventional TTS. However, its predicting capability is still limited
by the acoustic/phonetic coverage of the training data, usually constrained
by the training set size. To fur... | 1904.04764 | title_snapshot |
ni19_interspeech | Duration Modeling with Global Phoneme-Duration Vectors | [
"Jinfu Ni",
"Yoshinori Shiga",
"Hisashi Kawai"
] | https://www.isca-archive.org/interspeech_2019/ni19_interspeech.html | https://www.isca-archive.org/interspeech_2019/ni19_interspeech.pdf | 10.21437/Interspeech.2019-2126 | 4465-4469 | @inproceedings{ni19_interspeech,
title = {{Duration Modeling with Global Phoneme-Duration Vectors}},
author = {Jinfu Ni and Yoshinori Shiga and Hisashi Kawai},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4465--4469},
doi = {10.21437/Interspeech.2019-2126},
issn = {... | A duration model is a major component in every parametric speech synthesis
system. Conventional methods use full contextual labels as features
to predict phoneme durations that require morphological analysis of
text. By contrast, advances in bidirectional recurrent neural networks
(BRNN) and global space vector models ... | null | null |
aubin19_interspeech | Improving Speech Synthesis with Discourse Relations | [
"Adèle Aubin",
"Alessandra Cervone",
"Oliver Watts",
"Simon King"
] | https://www.isca-archive.org/interspeech_2019/aubin19_interspeech.html | https://www.isca-archive.org/interspeech_2019/aubin19_interspeech.pdf | 10.21437/Interspeech.2019-1945 | 4470-4474 | @inproceedings{aubin19_interspeech,
title = {{Improving Speech Synthesis with Discourse Relations}},
author = {Adèle Aubin and Alessandra Cervone and Oliver Watts and Simon King},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4470--4474},
doi = {10.21437/Interspeech.2019-19... | This paper explores whether adding Discourse Relation (DR) features
improves the naturalness of neural statistical parametric speech synthesis
(SPSS) in English. We hypothesize first — in the light of several
previous studies — that DRs have a dedicated prosodic encoding.
Secondly, we hypothesize that encoding DRs in a... | null | null |
tits19_interspeech | Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis Through Audio Analysis | [
"Noé Tits",
"Fengna Wang",
"Kevin El Haddad",
"Vincent Pagel",
"Thierry Dutoit"
] | https://www.isca-archive.org/interspeech_2019/tits19_interspeech.html | https://www.isca-archive.org/interspeech_2019/tits19_interspeech.pdf | 10.21437/Interspeech.2019-1426 | 4475-4479 | @inproceedings{tits19_interspeech,
title = {{Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis Through Audio Analysis}},
author = {Noé Tits and Fengna Wang and Kevin El Haddad and Vincent Pagel and Thierry Dutoit},
year = {2019},
booktitle = {{Interspeech ... | The field of Text-to-Speech has experienced huge improvements last
years benefiting from deep learning techniques. Producing realistic
speech becomes possible now. As a consequence, the research on the
control of the expressiveness, allowing to generate speech in different
styles or manners, has attracted increasing at... | 1903.11570 | title_snapshot |
yang19h_interspeech | Pre-Trained Text Representations for Improving Front-End Text Processing in Mandarin Text-to-Speech Synthesis | [
"Bing Yang",
"Jiaqi Zhong",
"Shan Liu"
] | https://www.isca-archive.org/interspeech_2019/yang19h_interspeech.html | https://www.isca-archive.org/interspeech_2019/yang19h_interspeech.pdf | 10.21437/Interspeech.2019-1418 | 4480-4484 | @inproceedings{yang19h_interspeech,
title = {{Pre-Trained Text Representations for Improving Front-End Text Processing in Mandarin Text-to-Speech Synthesis}},
author = {Bing Yang and Jiaqi Zhong and Shan Liu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4480--4484},
doi =... | In this paper, we propose a novel method to improve the performance
and robustness of the front-end text processing modules of Mandarin
text-to-speech (TTS) synthesis. We use pre-trained text encoding models,
such as the encoder of a transformer based NMT model and BERT, to extract
the latent semantic representations o... | null | null |
pan19b_interspeech | A Mandarin Prosodic Boundary Prediction Model Based on Multi-Task Learning | [
"Huashan Pan",
"Xiulin Li",
"Zhiqiang Huang"
] | https://www.isca-archive.org/interspeech_2019/pan19b_interspeech.html | https://www.isca-archive.org/interspeech_2019/pan19b_interspeech.pdf | 10.21437/Interspeech.2019-1400 | 4485-4488 | @inproceedings{pan19b_interspeech,
title = {{A Mandarin Prosodic Boundary Prediction Model Based on Multi-Task Learning}},
author = {Huashan Pan and Xiulin Li and Zhiqiang Huang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4485--4488},
doi = {10.21437/Interspeech.2019-14... | In this paper, we propose a mandarin prosodic boundary prediction model
based on Multi-Task Learning (MTL) architecture. The prosody structure
of mandarin is a three-level hierarchical structure, which contains
three basic units — Prosodic Word (PW), Prosodic Phrase (PPH)
and Intonational Phrase (IPH) [1]. Previous stu... | null | null |
gokcen19_interspeech | Dual Encoder Classifier Models as Constraints in Neural Text Normalization | [
"Ajda Gokcen",
"Hao Zhang",
"Richard Sproat"
] | https://www.isca-archive.org/interspeech_2019/gokcen19_interspeech.html | https://www.isca-archive.org/interspeech_2019/gokcen19_interspeech.pdf | 10.21437/Interspeech.2019-1135 | 4489-4493 | @inproceedings{gokcen19_interspeech,
title = {{Dual Encoder Classifier Models as Constraints in Neural Text Normalization}},
author = {Ajda Gokcen and Hao Zhang and Richard Sproat},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4489--4493},
doi = {10.21437/Interspeech.2019-... | Neural text normalization systems can achieve low error rates; however,
the errors they make include not only ones from which the hearer can
recover (such as reading 3 as three dollar) but also unrecoverable
errors, such as reading 3 as three euros. FST decoding constraints
have proven effective at reducing unreco... | null | null |
li19v_interspeech | Knowledge-Based Linguistic Encoding for End-to-End Mandarin Text-to-Speech Synthesis | [
"Jingbei Li",
"Zhiyong Wu",
"Runnan Li",
"Pengpeng Zhi",
"Song Yang",
"Helen Meng"
] | https://www.isca-archive.org/interspeech_2019/li19v_interspeech.html | https://www.isca-archive.org/interspeech_2019/li19v_interspeech.pdf | 10.21437/Interspeech.2019-1118 | 4494-4498 | @inproceedings{li19v_interspeech,
title = {{Knowledge-Based Linguistic Encoding for End-to-End Mandarin Text-to-Speech Synthesis}},
author = {Jingbei Li and Zhiyong Wu and Runnan Li and Pengpeng Zhi and Song Yang and Helen Meng},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4494--... | Recent researches have shown superior performance of applying end-to-end
architecture in text-to-speech (TTS) synthesis. However, considering
the complex linguistic structure of Chinese, using Chinese characters
directly for Mandarin TTS may suffer from the poor linguistic encoding
performance, resulting in improper wo... | null | null |
shankar19c_interspeech | Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks | [
"Ravi Shankar",
"Hsi-Wei Hsieh",
"Nicolas Charon",
"Archana Venkataraman"
] | https://www.isca-archive.org/interspeech_2019/shankar19c_interspeech.html | https://www.isca-archive.org/interspeech_2019/shankar19c_interspeech.pdf | 10.21437/Interspeech.2019-2386 | 4499-4503 | @inproceedings{shankar19c_interspeech,
title = {{Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks}},
author = {Ravi Shankar and Hsi-Wei Hsieh and Nicolas Charon and Archana Venkataraman},
year = {2019},
booktitle = {{Interspeech 2019}},
pages ... | We present a novel approach for emotion conversion that bridges the
domains of speech analysis and computer vision. Our strategy is to
warp the pitch contour of a source emotional utterance using diffeomorphic
curve registration. The associated dynamical process pushes the original
source contour towards that of a targ... | null | null |
connaghan19_interspeech | Use of Beiwe Smartphone App to Identify and Track Speech Decline in Amyotrophic Lateral Sclerosis (ALS) | [
"Kathryn P. Connaghan",
"Jordan R. Green",
"Sabrina Paganoni",
"James Chan",
"Harli Weber",
"Ella Collins",
"Brian Richburg",
"Marziye Eshghi",
"J.P. Onnela",
"James D. Berry"
] | https://www.isca-archive.org/interspeech_2019/connaghan19_interspeech.html | https://www.isca-archive.org/interspeech_2019/connaghan19_interspeech.pdf | 10.21437/Interspeech.2019-3126 | 4504-4508 | @inproceedings{connaghan19_interspeech,
title = {{Use of Beiwe Smartphone App to Identify and Track Speech Decline in Amyotrophic Lateral Sclerosis (ALS)}},
author = {Kathryn P. Connaghan and Jordan R. Green and Sabrina Paganoni and James Chan and Harli Weber and Ella Collins and Brian Richburg and Marziye E... | The capacity for smartphones to remotely capture speech data affords
significant clinical and research opportunities for degenerative neurologic
diseases such as amyotrophic lateral sclerosis (ALS). Longitudinal
data may inform ALS disease prognosis, facilitate timely intervention,
and document response to treatment [1... | null | null |
rowe19_interspeech | Profiling Speech Motor Impairments in Persons with Amyotrophic Lateral Sclerosis: An Acoustic-Based Approach | [
"Hannah P. Rowe",
"Jordan R. Green"
] | https://www.isca-archive.org/interspeech_2019/rowe19_interspeech.html | https://www.isca-archive.org/interspeech_2019/rowe19_interspeech.pdf | 10.21437/Interspeech.2019-2911 | 4509-4513 | @inproceedings{rowe19_interspeech,
title = {{Profiling Speech Motor Impairments in Persons with Amyotrophic Lateral Sclerosis: An Acoustic-Based Approach}},
author = {Hannah P. Rowe and Jordan R. Green},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4509--4513},
doi = {10.2... | The goal of this study was to profile the speech motor impairments
that characterize dysarthria secondary to amyotrophic lateral sclerosis
(ALS). This information is important for identifying optimal treatment
strategies and guiding speech impairment subtype discovery, which may
facilitate ongoing efforts to improve au... | null | null |
mayle19_interspeech | Diagnosing Dysarthria with Long Short-Term Memory Networks | [
"Alex Mayle",
"Zhiwei Mou",
"Razvan Bunescu",
"Sadegh Mirshekarian",
"Li Xu",
"Chang Liu"
] | https://www.isca-archive.org/interspeech_2019/mayle19_interspeech.html | https://www.isca-archive.org/interspeech_2019/mayle19_interspeech.pdf | 10.21437/Interspeech.2019-2903 | 4514-4518 | @inproceedings{mayle19_interspeech,
title = {{Diagnosing Dysarthria with Long Short-Term Memory Networks}},
author = {Alex Mayle and Zhiwei Mou and Razvan Bunescu and Sadegh Mirshekarian and Li Xu and Chang Liu},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4514--4518},
doi ... | This paper proposes the use of Recurrent Neural Networks (RNNs) with
Long Short-Term Memory (LSTM) units for determining whether Mandarin-speaking
individuals are afflicted with a form of Dysarthria based on samples
of syllable pronunciations. Several LSTM network architectures are
evaluated on this binary classificati... | null | null |
sudro19_interspeech | Modification of Devoicing Error in Cleft Lip and Palate Speech | [
"Protima Nomo Sudro",
"S.R. Mahadeva Prasanna"
] | https://www.isca-archive.org/interspeech_2019/sudro19_interspeech.html | https://www.isca-archive.org/interspeech_2019/sudro19_interspeech.pdf | 10.21437/Interspeech.2019-2604 | 4519-4523 | @inproceedings{sudro19_interspeech,
title = {{Modification of Devoicing Error in Cleft Lip and Palate Speech}},
author = {Protima Nomo Sudro and S.R. Mahadeva Prasanna},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4519--4523},
doi = {10.21437/Interspeech.2019-2604},
iss... | The cleft of the lip and palate (CLP) caused by structural and functional
deformation leads to various speech-related disorders, which substantially
degrades the speech intelligibility. In this work, devoiced stop consonants
in CLP speech are analyzed, and an approach is proposed for its modification
in order to enhanc... | null | null |
eshghi19_interspeech | Reduced Task Adaptation in Alternating Motion Rate Tasks as an Early Marker of Bulbar Involvement in Amyotrophic Lateral Sclerosis | [
"Marziye Eshghi",
"Panying Rong",
"Antje S. Mefferd",
"Kaila L. Stipancic",
"Yana Yunusova",
"Jordan R. Green"
] | https://www.isca-archive.org/interspeech_2019/eshghi19_interspeech.html | https://www.isca-archive.org/interspeech_2019/eshghi19_interspeech.pdf | 10.21437/Interspeech.2019-2546 | 4524-4528 | @inproceedings{eshghi19_interspeech,
title = {{Reduced Task Adaptation in Alternating Motion Rate Tasks as an Early Marker of Bulbar Involvement in Amyotrophic Lateral Sclerosis}},
author = {Marziye Eshghi and Panying Rong and Antje S. Mefferd and Kaila L. Stipancic and Yana Yunusova and Jordan R. Green},
... | The identification of robust biomarkers to detect the onset of amyotrophic
lateral sclerosis (ALS) has been an ongoing challenge. Recent evidence
from multiple studies suggests that speech changes are a reliable early
indicator of ALS particularly during physically demanding speaking
tasks such as alternating motion ra... | null | null |
wang19q_interspeech | Towards the Speech Features of Early-Stage Dementia: Design and Application of the Mandarin Elderly Cognitive Speech Database | [
"Tianqi Wang",
"Quanlei Yan",
"Jingshen Pan",
"Feiqi Zhu",
"Rongfeng Su",
"Yi Guo",
"Lan Wang",
"Nan Yan"
] | https://www.isca-archive.org/interspeech_2019/wang19q_interspeech.html | https://www.isca-archive.org/interspeech_2019/wang19q_interspeech.pdf | 10.21437/Interspeech.2019-2453 | 4529-4533 | @inproceedings{wang19q_interspeech,
title = {{Towards the Speech Features of Early-Stage Dementia: Design and Application of the Mandarin Elderly Cognitive Speech Database}},
author = {Tianqi Wang and Quanlei Yan and Jingshen Pan and Feiqi Zhu and Rongfeng Su and Yi Guo and Lan Wang and Nan Yan},
year ... | Speech and language features have been proven to be useful for the
detection of neurodegenerative diseases, such as Alzheimer’s
disease (AD), and its prodromal stage, mild cognitive impairment (MCI).
Unfortunately, high-quality speech database remains scarce, which limit
its application in automatic screening and asses... | null | null |
chen19p_interspeech | Acoustic Characteristics of Lexical Tone Disruption in Mandarin Speakers After Brain Damage | [
"Wenjun Chen",
"Jeroen van de Weijer",
"Shuangshuang Zhu",
"Qian Qian",
"Manna Wang"
] | https://www.isca-archive.org/interspeech_2019/chen19p_interspeech.html | https://www.isca-archive.org/interspeech_2019/chen19p_interspeech.pdf | 10.21437/Interspeech.2019-2432 | 4534-4538 | @inproceedings{chen19p_interspeech,
title = {{Acoustic Characteristics of Lexical Tone Disruption in Mandarin Speakers After Brain Damage}},
author = {Wenjun Chen and Jeroen van de Weijer and Shuangshuang Zhu and Qian Qian and Manna Wang},
year = {2019},
booktitle = {{Interspeech 2019}},
pages ... | This study identifies the acoustic characteristics of tones produced
by Mandarin brain-damaged patients. We investigate the F0 characteristics
of the patients’ tone productions and compare them with a control
group of healthy speakers. The results show tone disruption in patients
with brain damage in either the left or... | null | null |
hermes19_interspeech | Intragestural Variation in Natural Sentence Production: Essential Tremor Patients Treated with DBS | [
"Anne Hermes",
"Doris Mücke",
"Tabea Thies",
"Michael T. Barbe"
] | https://www.isca-archive.org/interspeech_2019/hermes19_interspeech.html | https://www.isca-archive.org/interspeech_2019/hermes19_interspeech.pdf | 10.21437/Interspeech.2019-2389 | 4539-4543 | @inproceedings{hermes19_interspeech,
title = {{Intragestural Variation in Natural Sentence Production: Essential Tremor Patients Treated with DBS}},
author = {Anne Hermes and Doris Mücke and Tabea Thies and Michael T. Barbe},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4539--4543... | In the present study, we investigate intragestural parameters during
the production of CV syllables in natural sentence production of Essential
Tremor (ET) patients treated with Deep Brain Stimulation (DBS). Within
the task dynamic approach, we analyzed temporal and spatial parameters
of consonantal and vocalic movemen... | null | null |
kalita19_interspeech | Nasal Air Emission in Sibilant Fricatives of Cleft Lip and Palate Speech | [
"Sishir Kalita",
"Protima Nomo Sudro",
"S.R. Mahadeva Prasanna",
"S. Dandapat"
] | https://www.isca-archive.org/interspeech_2019/kalita19_interspeech.html | https://www.isca-archive.org/interspeech_2019/kalita19_interspeech.pdf | 10.21437/Interspeech.2019-2345 | 4544-4548 | @inproceedings{kalita19_interspeech,
title = {{Nasal Air Emission in Sibilant Fricatives of Cleft Lip and Palate Speech}},
author = {Sishir Kalita and Protima Nomo Sudro and S.R. Mahadeva Prasanna and S. Dandapat},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4544--4548},
doi ... | Cleft lip and palate (CLP) is a congenital disorder of the orofacial
region. Nasal air emission (NAE) in CLP speech occurs due to the presence
of velopharyngeal dysfunction (VPD), and it mostly occurs in the production
of fricative sounds. The objective of present work is to study the
acoustic characteristics of voicel... | null | null |
serrano19_interspeech | Parallel vs. Non-Parallel Voice Conversion for Esophageal Speech | [
"Luis Serrano",
"Sneha Raman",
"David Tavarez",
"Eva Navas",
"Inma Hernaez"
] | https://www.isca-archive.org/interspeech_2019/serrano19_interspeech.html | https://www.isca-archive.org/interspeech_2019/serrano19_interspeech.pdf | 10.21437/Interspeech.2019-2194 | 4549-4553 | @inproceedings{serrano19_interspeech,
title = {{Parallel vs. Non-Parallel Voice Conversion for Esophageal Speech}},
author = {Luis Serrano and Sneha Raman and David Tavarez and Eva Navas and Inma Hernaez},
year = {2019},
booktitle = {{Interspeech 2019}},
pages = {4549--4553},
doi = {10... | State of the art systems for voice conversion have been shown to generate
highly natural sounding converted speech. Voice conversion techniques
have also been applied to alaryngeal speech, with the aim of improving
its quality or its intelligibility. In this paper, we present an attempt
to apply a voice conversion stra... | null | null |
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