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NOTE: If your colab crashes, please use pip install --upgrade --quiet datasets[audio]==3.6.0 to install datasets[audio] version 3.6.0.
This dataset combined google/fleurs, openslr/openslr42, and cleaned seanghay/khmer_mpwt_speech. Severals processes are executed:
- clean up seanghay/khmer_mpwt_speech: manually correct wrong transcriptions over 2058 rows
- normalize transcription: remove invisible white space; process
ៗ, numbers, currencies, date into khmer text; and separate each word by space - filter out texts whose number of token ids are more than 448: use tokenizer of Whisper-Small to encode text and filter out sequences longer than 448
- filter out audio with length longer than 30 seconds
- resample audio to 16000kHz
Disclaimer I do not own any of these datasets.
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