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add whisper normalization on training #1768

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3 changes: 3 additions & 0 deletions recipes/LibriSpeech/ASR/transformer/train_with_whisper.py
Original file line number Diff line number Diff line change
Expand Up @@ -213,6 +213,9 @@ def audio_pipeline(wav):
"wrd", "tokens_list", "tokens_bos", "tokens_eos", "tokens"
)
def text_pipeline(wrd):
#carry on the whisper normalization for fintunning
if hasattr(hparams, "normalized_transcripts"):
wrd =tokenizer._normalize(wrd)
yield wrd
tokens_list = tokenizer.encode(wrd)
# avoid bos and eos tokens.
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