README.md

metadata

task_categories:
  - automatic-speech-recognition
language:
  - ms
  - en
  - zh
  - ta
  - id

Malaysian STT Whisper format

Up to 15k hours annotated, we done heavy postprocessing and post-translation to improve pseudolabeled Whisper Large V3.

Postprocessing

1. Check repetitive trigrams.
2. Verify Voice Activity using Silero-VAD.
3. Verify scores using Force Alignment.

Post-translation

We use mesolitica/nanot5-base-malaysian-translation-v2.1.

Dataset involved

1. Malaysian context v1
2. Malaysian context v2
3. Malay audiobook
4. Singaporean context
5. Indonesian context
6. Mandarin audio
7. Tamil audio
8. Science context
9. Malay sarawak
10. Scripted Malay Daily Use Speech Corpus
11. Malay Conversational Speech Corpus
12. Iban
13. Malay dialects

Source code

Source code at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text-semisupervised/distilled-malaysian-whisper