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From this issue #14566 I understand that both canary-1b-v2 and parakeet-tdt-0.6b-v3 does not support TN as they were trained directly on unnormalised text.
So to finetune parakeet, I assume that the best way is to adapt my training data by applying ITN transformation. But would it sufficient to use pipeline from nemo-text_processing?
Or there are custom ITN rules that I will be missing ?
For punctuation, if my training data doesn't have it, I assume that the model will be biased during fine-tuning and incrementally output less punctuation tokens
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Hello Team,
First, thanks for the incredible work !
From this issue #14566 I understand that both canary-1b-v2 and parakeet-tdt-0.6b-v3 does not support TN as they were trained directly on unnormalised text.
So to finetune parakeet, I assume that the best way is to adapt my training data by applying ITN transformation. But would it sufficient to use pipeline from nemo-text_processing?
Or there are custom ITN rules that I will be missing ?
For punctuation, if my training data doesn't have it, I assume that the model will be biased during fine-tuning and incrementally output less punctuation tokens
Thanks in advance for your responses !
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