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License: MIT License
Hi @cschaefer26,
You have done nice job. I'm using your repo. But while aligning larger audio (> 1 minute) with its character (phone) sequence at inference period, the number of predicted values in duration file (. npy file) does not match with the number of characters (phones) that I input with the audio file. What is the problem here? I want to use pretrained model (trained on bangla dataset [audio, phoneme sequence] ) for phoneme duration prediction.So accuracy is a major concern for me.
Note that: While training, I have used 10-15 second larger audio files and corresponding transcriptions (phoneme sequences). And I customized your code (preprocess.py and extract_durations.py) to fit the inference for single audio and its transcription.
Hi @cschaefer26,
I have performed training DFA model on Bangla Dataset and predicted duration for sample audio. The duration file (.npy format) ouputs some integer values only for each characters. Then I have used the formula as follows:
duration of a character = (hop_length* pred_value for particular character)/sample_rate. Am I right for this case. Kindly help me in this regard.
Hi @cschaefer26, I got Loss = nan while training the model using my own dataset at first epoch. Can you please share your observation on this issue. Thanks in Advance
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