mesolitica/Malaysian-STT-Whisper
Malaysian STT Whisper format Heavy postprocessing and post-translation to improve pseudolabeled Whisper Large V3. Also include word level timestamp. Postprocessing Check repetitive trigrams. Verify Voice Activity using Silero-VAD. Verify scores using Force Alignment. Post-translation We use mesolitica/nanot5-base-malaysian-translation-v2.1. Dataset involved Malaysian context v2 Singaporean context Indonesian context Mandarin audio… See the full description on the dataset page: https://huggingface.co/datasets/mesolitica/Malaysian-STT-Whisper.
| Author / organization | mesolitica |
|---|---|
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 28 August 2024 |
| Last updated at source | 14 July 2025 |
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Connected in the knowledge graph
- mesolitica/malaysian-whisper-small-v3Model · used to train
- mesolitica/Malaysian-whisper-large-v3-turbo-v3Model · used to train
Recent changes
- 17 Oct 2026 Description: Malaysian STT Whisper format Heavy postprocessing and post-translation to improve pseudolabeled Whisper Large V3. Also include word level timestamp. Postprocessing Check repetitive trigrams. Verify Voice Activity using Silero-VAD. Verify sc → Malaysian STT Whisper format Heavy postprocessing and post-translation to improve pseudolabeled Whisper Large V3. Also include word level timestamp. Postprocessing Check repetitive trigrams. Verify Voice Activity using Silero-VAD. Verify sc
Changes detected by Silytics between refreshes of the source.
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