Datasets:
Sinhala ASR – Consolidated OpenSLR (SLR52)
Dataset Summary
This dataset is a consolidated and cleaned version of the Sinhala Automatic Speech Recognition (ASR) dataset from OpenSLR (SLR52).
The original OpenSLR release distributes the data across multiple subsets (0–9, a–f).
This repository merges all subsets into a single unified dataset containing approximately 111 hours of speech audio.
Dataset Description
Consolidation
- All OpenSLR SLR52 subsets (
0–9,a–f) have been merged into one dataset. - The resulting dataset contains ~111 hours of audio data.
Language Analysis
The dataset was analyzed and found to consist exclusively of:
- Sinhala-only utterances
- English-only utterances
No code-mixed utterances were observed.
All English-only samples were removed.
Duration Filtering
- Audio samples shorter than 0.5 seconds or longer than 30 seconds were removed.
Silence Removal
- Silero VAD was used to remove leading and trailing silence from all audio files.
After preprocessing, the dataset was reduced from approximately 185k original utterances to ~178k cleaned samples.
Audio Characteristics
- Format: WAV
- Sampling Rate: 16 kHz
- Channels: Mono
- Silence: Leading and trailing silence removed using VAD
No additional SNR-based filtering was required.
Text Processing
- Transcriptions were found to be clean and well-formed
- No text normalization beyond basic Unicode normalization was required
Dataset Structure
.
├── wavs/
│ ├── si_0000001.wav
│ ├── si_0000002.wav
│ └── ...
├── manifest.jsonl
└── README.md
Manifest Format (manifest.jsonl)
Each line is a JSON object with the following fields:
{
"audio_filepath": "wavs/si_0000001.wav",
"duration": 2.34,
"text": "සිංහල වාක්යයක්",
"lang": "si"
}
This format is compatible with ASR toolkits such as:
- NVIDIA NeMo
- ESPnet
- Fairseq
- Hugging Face Datasets
Intended Use
- Automatic Speech Recognition (ASR)
- CTC-based acoustic model training
- Low-resource and Indic language research
Source Data
- Original Dataset: OpenSLR – SLR52 (Sinhala ASR)
- URL: https://openslr.org/52/
License
Please refer to the original OpenSLR SLR52 dataset license. Users should ensure compliance with the original data usage terms.
Citation
If you use this dataset, please cite the original OpenSLR SLR52 release.
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