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  # Malaysian STT Whisper format
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- Up to 15k hours annotated, we done heavy postfilter, postprocessing and post-translation to improve pseudolabeled Whisper Large V3.
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- Source code at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text-semisupervised/distilled-malaysian-whisper
 
 
 
 
 
 
 
 
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  ## Dataset involved
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- 1. Malaysian context, https://huggingface.co/datasets/mesolitica/pseudolabel-malaya-speech-stt-train-whisper-large-v3-timestamp
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- 2. Malaysian context, https://huggingface.co/datasets/mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp
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- 3. Malay audiobook, https://huggingface.co/datasets/mesolitica/pseudolabel-nusantara-large-v3-timestamp
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- 4. Singaporean context, https://huggingface.co/datasets/mesolitica/pseudolabel-imda-large-v3-timestamp
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- 5. Indonesian context, https://huggingface.co/datasets/mesolitica/pseudolabel-indonesian-large-v3-timestamp
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- 6. Mandarin audio, https://huggingface.co/datasets/mesolitica/pseudolabel-mandarin-large-v3-timestamp
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- 7. Tamil audio, https://huggingface.co/datasets/mesolitica/pseudolabel-tamil-large-v3-timestamp
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- 8. Science context, https://huggingface.co/datasets/mesolitica/pseudolabel-science-large-v3-timestamp
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- 9. Malay sarawak, https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format
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- 10. Scripted Malay Daily Use Speech Corpus, https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format
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- 11. Malay Conversational Speech Corpus, https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format
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- 12. Iban, https://huggingface.co/datasets/malaysia-ai/iban-whisper-format
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- 13. Malay dialects, https://huggingface.co/datasets/mesolitica/pseudolabel-malay-dialects-large-v3-timestamp
 
 
 
 
 
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  # Malaysian STT Whisper format
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+ Up to 15k hours annotated, we done heavy postprocessing and post-translation to improve pseudolabeled Whisper Large V3.
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+ ## Postprocessing
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+ 1. Check repetitive trigrams.
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+ 2. Verify Voice Activity using Silero-VAD.
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+ 3. Verify scores using Force Alignment.
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+
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+ ## Post-translation
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+ We use [mesolitica/nanot5-base-malaysian-translation-v2.1](https://huggingface.co/mesolitica/nanot5-base-malaysian-translation-v2.1).
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  ## Dataset involved
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+ 1. [Malaysian context v1](https://huggingface.co/datasets/mesolitica/pseudolabel-malaya-speech-stt-train-whisper-large-v3-timestamp)
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+ 2. [Malaysian context v2](https://huggingface.co/datasets/mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp)
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+ 3. [Malay audiobook](https://huggingface.co/datasets/mesolitica/pseudolabel-nusantara-large-v3-timestamp)
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+ 4. [Singaporean context](https://huggingface.co/datasets/mesolitica/pseudolabel-imda-large-v3-timestamp)
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+ 5. [Indonesian context](https://huggingface.co/datasets/mesolitica/pseudolabel-indonesian-large-v3-timestamp)
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+ 6. [Mandarin audio](https://huggingface.co/datasets/mesolitica/pseudolabel-mandarin-large-v3-timestamp)
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+ 7. [Tamil audio](https://huggingface.co/datasets/mesolitica/pseudolabel-tamil-large-v3-timestamp)
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+ 8. [Science context](https://huggingface.co/datasets/mesolitica/pseudolabel-science-large-v3-timestamp)
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+ 9. [Malay sarawak](https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format)
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+ 10. [Scripted Malay Daily Use Speech Corpus](https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format)
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+ 11. [Malay Conversational Speech Corpus](https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format)
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+ 12. [Iban](https://huggingface.co/datasets/malaysia-ai/iban-whisper-format)
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+ 13. [Malay dialects](https://huggingface.co/datasets/mesolitica/pseudolabel-malay-dialects-large-v3-timestamp)
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+
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+ ## Source code
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+
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+ Source code at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text-semisupervised/distilled-malaysian-whisper