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Datasets:
mesolitica
/
semisupervised-audiobook

Tasks:
Automatic Speech Recognition
Text-to-Speech
Languages:
Malay
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semisupervised-audiobook / README.md
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metadata
language:
  - ms
task_categories:
  - automatic-speech-recognition
  - text-to-speech

Pseudolabel Youtube Malay audiobooks using Whisper Large V3

Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/speech-to-text-semisupervised/youtube-audiobook

  1. Split based on 10 seconds utterances using WebRTC VAD.

how-to

Download files,

wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/bukan-kerana-aku-5secs-noisy.tar.gz
wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/bukan-kerana-aku-noisy.tar.gz
wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/harry-potter-5secs-noisy.tar.gz
wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/harry-potter-noisy.tar.gz
wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/teme-5secs-noisy.tar.gz
wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/teme-noisy.tar.gz
wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/semisupervised-audiobook-part1.json
wget https://huggingface.co/datasets/mesolitica/semisupervised-audiobook/resolve/main/semisupervised-audiobook-part2.json