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Update README.md

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@@ -23,4 +23,25 @@ configs:
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  path: data/train-*
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  - split: test
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  path: data/test-*
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
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  path: data/train-*
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  - split: test
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  path: data/test-*
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+ task_categories:
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+ - automatic-speech-recognition
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+ - text-to-speech
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+ language:
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+ - km
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+ tags:
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+ - openslr42
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+ - fleurs
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+ - asr
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  ---
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+
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+ This dataset combined [google/fleurs](https://huggingface.co/datasets/google/fleurs), [openslr/openslr42](https://huggingface.co/datasets/openslr/openslr), and cleaned [seanghay/khmer_mpwt_speech](https://huggingface.co/datasets/seanghay/khmer_mpwt_speech).
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+ Severals processes are executed:
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+ 1. clean up [seanghay/khmer_mpwt_speech](): manually correct wrong transcriptions over 2058 rows
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+ 2. normalize transcription: remove invisible white space; process `ៗ`, numbers, currencies, date into khmer text; and separate each word by space
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+ 3. 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
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+ 4. filter out audio with length longer than 30 seconds
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+ 5. resample audio to 16000kHz
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+
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+ __Disclaimer__ I do not own any of these datasets.
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+
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+