---
task_categories:
- automatic-speech-recognition
language:
- ms
- en
- zh
- ta
---
# Malaysian STT

incoming preprint, we done heavy postfilter, postprocessing and post-translation to improve pseudolabeled Whisper Large V3

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

## Dataset involved

1. Malaysian context, https://huggingface.co/datasets/mesolitica/pseudolabel-malaya-speech-stt-train-whisper-large-v3-timestamp
2. Malaysian context, https://huggingface.co/datasets/mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp
3. Malay audiobook, https://huggingface.co/datasets/mesolitica/pseudolabel-nusantara-large-v3-timestamp
4. Singaporean context, https://huggingface.co/datasets/mesolitica/pseudolabel-imda-large-v3-timestamp
5. Indonesian context, https://huggingface.co/datasets/mesolitica/pseudolabel-indonesian-large-v3-timestamp
6. Mandarin audio, https://huggingface.co/datasets/mesolitica/pseudolabel-mandarin-large-v3-timestamp
7. Tamil audio, https://huggingface.co/datasets/mesolitica/pseudolabel-tamil-large-v3-timestamp
8. Science context, https://huggingface.co/datasets/mesolitica/pseudolabel-science-large-v3-timestamp
9. Malay sarawak, https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format