Datasets:
audio
audioduration (s) 87.4
987
| file_name
stringlengths 16
27
| language
stringclasses 7
values |
|---|---|---|
Assamese_2_Left.wav
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Assamese
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Assamese_2_Right.wav
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Assamese
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Assamese_2_Combined.wav
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Assamese
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Assamese_1_Left.wav
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Assamese
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Assamese_1_Right.wav
|
Assamese
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Assamese_1_Combined.wav
|
Assamese
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Bengali_1_Left.wav
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Bengali
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Bengali_1_Right.wav
|
Bengali
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Bengali_1_Combined.wav
|
Bengali
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Bengali_2_Left.wav
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Bengali
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Bengali_2_Right.wav
|
Bengali
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Bengali_2_Combined.wav
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Bengali
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Bengali_3_Left.wav
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Bengali
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Bengali_3_Right.wav
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Bengali
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Bengali_3_Combined.wav
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Bengali
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Bhojpuri_1_Left.wav
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Bhojpuri
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Bhojpuri_1_Right.wav
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Bhojpuri
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Bhojpuri_1_Combined.wav
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Bhojpuri
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Bhojpuri_2_Left.wav
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Bhojpuri
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Bhojpuri_2_Right.wav
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Bhojpuri
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Bhojpuri_2_Combined.wav
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Bhojpuri
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Bhojpuri_3_Left.wav
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Bhojpuri
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Bhojpuri_3_Right.wav
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Bhojpuri
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Bhojpuri_3_Combined.wav
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Bhojpuri
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Chattisgarhi_1_Left.wav
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Chattisgarhi
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Chattisgarhi_1_Right.wav
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Chattisgarhi
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Chattisgarhi_1_Combined.wav
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Chattisgarhi
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Chattisgarhi_2_Left.wav
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Chattisgarhi
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Chattisgarhi_2_Right.wav
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Chattisgarhi
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Chattisgarhi_2_Combined.wav
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Chattisgarhi
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Haryanvi_1_Left.wav
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Haryanvi
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Haryanvi_1_Right.wav
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Haryanvi
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Haryanvi_1_Combined.wav
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Haryanvi
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Haryanvi_2_Left.wav
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Haryanvi
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Haryanvi_2_Right.wav
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Haryanvi
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Haryanvi_2_Combined.wav
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Haryanvi
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Haryanvi_3_Left.wav
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Haryanvi
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Haryanvi_3_Right.wav
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Haryanvi
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Haryanvi_3_Combined.wav
|
Haryanvi
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Hindi_1_Left.wav
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Hindi
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Hindi_1_Right.wav
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Hindi
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Hindi_1_Combined.wav
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Hindi
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Hindi_2_Left.wav
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Hindi
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Hindi_2_Right.wav
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Hindi
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Hindi_2_Combine.wav
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Hindi
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Hindi_3_Left.wav
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Hindi
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Hindi_3_Right.wav
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Hindi
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Hindi_3_Combined.wav
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Hindi
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Hindi_4_Left.wav
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Hindi
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Hindi_4_Right.wav
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Hindi
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Hindi_4_Combined.wav
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Hindi
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Kannada_1_Left.wav
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Kannada
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Kannada_1_Right.wav
|
Kannada
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Kannada_1_Combined.wav
|
Kannada
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Kannada_2_Left.wav
|
Kannada
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Kannada_2_Right.wav
|
Kannada
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Kannada_2_Combined.wav
|
Kannada
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Kannada_3_Left.wav
|
Kannada
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Kannada_3_Right.wav
|
Kannada
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Kannada_3_Combined.wav
|
Kannada
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Marathi_1_Left.wav
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Marathi
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Marathi_1_Right.wav
|
Marathi
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Marathi_1_Combined.wav
|
Marathi
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Marathi_2_Left.wav
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Marathi
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Marathi_2_Right.wav
|
Marathi
|
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Marathi_2_Combined.wav
|
Marathi
|
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Marathi_3_Left.wav
|
Marathi
|
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Marathi_3_Right.wav
|
Marathi
|
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Marathi_3_Combined.wav
|
Marathi
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Odia_1_Left.wav
|
Odia
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Odia_1_Right.wav
|
Odia
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Odia_1_Combined.wav
|
Odia
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Odia_2_Left.wav
|
Odia
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Odia_2_Right.wav
|
Odia
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Odia_2_Combined.wav
|
Odia
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Odia_3_Left.wav
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Odia
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Odia_3_Right.wav
|
Odia
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Odia_3_Combined.wav
|
Odia
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Tamil_1_Left.wav
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Tamil
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Tamil_1_Right.wav
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Tamil
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Tamil_1_Combined.wav
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Tamil
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Tamil_2_Left.wav
|
Tamil
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Tamil_2_Right.wav
|
Tamil
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Tamil_2_Combined.wav
|
Tamil
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Telugu_1_Left.wav
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Telugu
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Telugu_1_Right.wav
|
Telugu
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Telugu_1_Combined.wav
|
Telugu
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Telugu_2_Left.wav
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Telugu
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Telugu_2_Right.wav
|
Telugu
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Telugu_2_Combined.wav
|
Telugu
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Telugu_3_Left.wav
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Telugu
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Telugu_3_Right.wav
|
Telugu
|
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Telugu_3_Combined.wav
|
Telugu
|
Indic Conversational ASR Dataset
π Dataset Overview
This dataset contains high-quality audio samples curated for Automatic Speech Recognition (ASR) tasks.
The recordings are optimized for speech recognition and are provided with:
- Sampling Rate: 16 kHz β 24 kHz
- Bit Depth: 16-bit
- Audio Type: Non-scripted conversational speech
- Format: Dual-speaker conversations
π Supported Languages & Variants
| Telugu | Kannada | Malayalam | Bengali (IN β Kolkata) | Bengali (IN β Non-Kolkata) |
| Bengali (BD) | Assamese | Odia | Gujarati | Marathi |
| Tamil | Tamilish | Hinglish | Marvadi | Chhattisgarhi |
π₯ Speaker Representation
- Dual-speaker conversational recordings
- Natural, spontaneous speech
- Female speaker representation: ~20%β30%
π Dataset Creation Methodology
π₯ Data Collection
Speech data was collected through micro-communities across India and neighboring regions, spanning:
- Tier 1 cities
- Tier 2 cities
- Tier 3 cities
This approach ensured:
- Linguistic diversity
- Regional accent coverage
- Authentic conversational patterns
π Recording Setup
- Non-scripted, dual-speaker conversations
- Duration: 10β30 minutes per recording
- Topics include:
- Business
- Finance
- Politics
- Daily-life discussions
β Quality Validation
All audio samples underwent automated and manual validation.
π Automated Checks
SRMR β’ SIGMOS β’ VQScore β’ WVMOS
Evaluated: Signal quality, perceptual clarity, speech intelligibility.
π₯ Human Review
Ensured conversational naturalness, audio clarity, and ASR suitability.
π― Dataset Intended Purpose
βοΈ Intended Uses
This dataset is designed for:
- Training and fine-tuning Automatic Speech Recognition (ASR) models
- Benchmarking conversational ASR systems
- Code-mixed speech recognition research
- Speaker turn detection and interruption modeling
- Informal and spontaneous speech modeling
- Emotion recognition research
- Speaker interaction analysis
- Conversational AI research
- Academic and open-source research for low-resource Indic languages
π« Out-of-Scope Uses
This dataset is not intended for:
- Real-time, safety-critical, or production-grade systems without additional validation
- Commercial deployment without proper attribution and compliance with CC BY 4.0
- Medical, clinical, legal, or diagnostic decision-making applications
π License
This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
π¬ Contact
For queries regarding this dataset, please reach out to:
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