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--- |
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pretty_name: "Sinhala ASR – OpenSLR SLR52 Consolidated (111h)" |
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license: cc-by-4.0 |
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language: |
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- si |
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task_categories: |
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- automatic-speech-recognition |
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tasks: |
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- speech-recognition |
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tags: |
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- sinhala |
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- indic-asr |
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- speech |
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- ctc |
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- nemo |
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- silero-vad |
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- openslr |
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- low-resource |
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size_categories: |
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- 100h-1k |
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--- |
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# Sinhala ASR – Consolidated OpenSLR (SLR52) |
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## Dataset Summary |
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This dataset is a **consolidated and cleaned version of the Sinhala Automatic Speech Recognition (ASR) dataset from OpenSLR (SLR52)**. |
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The original OpenSLR release distributes the data across multiple subsets (`0–9`, `a–f`). |
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This repository merges all subsets into a **single unified dataset** containing approximately **111 hours of speech audio**. |
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--- |
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## Dataset Description |
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### Consolidation |
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* All OpenSLR SLR52 subsets (`0–9`, `a–f`) have been merged into one dataset. |
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* The resulting dataset contains **~111 hours** of audio data. |
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### Language Analysis |
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* The dataset was analyzed and found to consist exclusively of: |
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* **Sinhala-only utterances** |
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* **English-only utterances** |
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* **No code-mixed utterances** were observed. |
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* All **English-only samples were removed**. |
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### Duration Filtering |
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* Audio samples shorter than **0.5 seconds** or longer than **30 seconds** were removed. |
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### Silence Removal |
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* **Silero VAD** was used to remove leading and trailing silence from all audio files. |
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After preprocessing, the dataset was reduced from approximately **185k original utterances to ~178k cleaned samples**. |
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--- |
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## Audio Characteristics |
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* **Format:** WAV |
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* **Sampling Rate:** 16 kHz |
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* **Channels:** Mono |
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* **Silence:** Leading and trailing silence removed using VAD |
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No additional SNR-based filtering was required. |
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--- |
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## Text Processing |
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* Transcriptions were found to be **clean and well-formed** |
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* No text normalization beyond basic Unicode normalization was required |
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--- |
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## Dataset Structure |
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``` |
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. |
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├── wavs/ |
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│ ├── si_0000001.wav |
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│ ├── si_0000002.wav |
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│ └── ... |
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├── manifest.jsonl |
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└── README.md |
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``` |
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### Manifest Format (`manifest.jsonl`) |
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Each line is a JSON object with the following fields: |
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```json |
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{ |
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"audio_filepath": "wavs/si_0000001.wav", |
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"duration": 2.34, |
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"text": "සිංහල වාක්යයක්", |
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"lang": "si" |
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} |
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``` |
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This format is compatible with ASR toolkits such as: |
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* NVIDIA NeMo |
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* ESPnet |
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* Fairseq |
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* Hugging Face Datasets |
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--- |
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## Intended Use |
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* Automatic Speech Recognition (ASR) |
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* CTC-based acoustic model training |
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* Low-resource and Indic language research |
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--- |
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## Source Data |
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* **Original Dataset:** OpenSLR – SLR52 (Sinhala ASR) |
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* **URL:** [https://openslr.org/52/](https://openslr.org/52/) |
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--- |
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## License |
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Please refer to the original OpenSLR SLR52 dataset license. |
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Users should ensure compliance with the original data usage terms. |
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--- |
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## Citation |
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If you use this dataset, please cite the original OpenSLR SLR52 release. |
