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.
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 v1
- Malaysian context v2
- Malay audiobook
- Singaporean context
- Indonesian context
- Mandarin audio
- Tamil audio
- Science context
- Malay sarawak
- Scripted Malay Daily Use Speech Corpus
- Malay Conversational Speech Corpus
- Iban
- Malay dialects
Word level timestamp
how to prepare the dataset
wget https://www.7-zip.org/a/7z2301-linux-x64.tar.xz
tar -xf 7z2301-linux-x64.tar.xz
# for Malaysian context v1
wget https://huggingface.co/datasets/mesolitica/pseudolabel-malaya-speech-stt-train-whisper-large-v3-timestamp/resolve/main/prepared-pseudolabel-malaya.jsonl
huggingface-cli download --repo-type dataset \
--include 'output-audio-malaya.z*' \
--local-dir './' \
mesolitica/pseudolabel-malaya-speech-stt-train-whisper-large-v3-timestamp
./7zz x output-audio-malaya.zip -y -mmt40
# Malaysian context v2
wget https://huggingface.co/datasets/mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp/resolve/main/prepared-pseudolabel.jsonl
huggingface-cli download --repo-type dataset \
--include 'output-audio.z*' \
--local-dir './' \
mesolitica/pseudolabel-malaysian-youtube-whisper-large-v3-timestamp
./7zz x output-audio-malaya.zip -y -mmt40
# Malay sarawak
wget https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format/resolve/main/sarawakmalay.zip
wget https://huggingface.co/datasets/malaysia-ai/sarawakmalay-whisper-format/resolve/main/dataset.json -O sarawakmalay.json
unzip sarawakmalay.zip
# for Scripted Malay Daily Use Speech Corpus
wget https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format/resolve/main/scripted-malay-daily-use-speech-corpus-whisper-format.zip
wget https://huggingface.co/datasets/malaysia-ai/scripted-malay-daily-use-speech-corpus-whisper-format/resolve/main/scripted-malay-daily-use-speech-corpus-whisper-format.json
unzip scripted-malay-daily-use-speech-corpus-whisper-format.zip
# Malay Conversational Speech Corpus
wget https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format/resolve/main/malay-conversational-speech-corpus-whisper-format.zip
wget https://huggingface.co/datasets/malaysia-ai/malay-conversational-speech-corpus-whisper-format/resolve/main/malay-conversational-speech-corpus-whisper-format.json
unzip malay-conversational-speech-corpus-whisper-format.zip
# Iban
wget https://huggingface.co/datasets/malaysia-ai/iban-whisper-format/resolve/main/iban-wav.zip
wget https://huggingface.co/datasets/malaysia-ai/iban-whisper-format/resolve/main/iban-dataset.json
unzip iban-wav.zip
Source code
Source code at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text-semisupervised/distilled-malaysian-whisper