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* wav2vec2: support datasets other than LibriSpeech * Formatting run_asr.py to pass code quality test * bundled orthography options and added verbose logs * fixing a typo in timit fine-tuning script * update comment for clarity * resize_lm_head and load custom vocab from file * adding a max_duration_in_seconds filter * do not assign `duration_filter` lambda, use a def * log untransliterated text as well * fix base model for arabic * fix duration filter when target_sr is not set * drop duration_in_seconds when unneeded * script for wav2vec2-large-lv60-timit-asr * fix for "tha" in arabic corpus (huggingface#10581) * adding more options to work with common_voice * PR feedback (huggingface#10581) * small README change
7 lines
81 B
Plaintext
7 lines
81 B
Plaintext
transformers
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datasets
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torch>=1.5.0
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jiwer==2.2.0
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lang-trans==0.6.0
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librosa==0.8.0
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