preprocessing_mel question about universalvocoding

[Kerry0123]

I am asking for your help. thank you.

[bshall]

Hi @Kerry0123,

Did you retrain the model with your preprocessing steps or did you feed your spectrograms directly to the pretrained model?

[Kerry0123]

I retrain the model with my preprocessing steps. The loss of epoch 1 is 0.66. Loss will drop to 0. I am asking for your help. thank you.

[bshall]

@Kerry0123, something weird is going on because that loss is very low. What dataset are you using? The ZeroSpeech one? Also, could you share an example spectrogram so I can check if anything is odd?

[Kerry0123]

The dataset is BZNSYP(Chinese dataset)，To align the output of the synthesizer with the input of the vocoder，I use the preprocessing of the tacotron2 synthesizer. Its github link: https://github.com/cnlinxi/style-token_tacotron2.
python preprocess.py --dataset=biaobei --base_dir=/tmp-data/data/ --output=/nfs/volume-340-1/tts_data_preprocess/training_data_biaobe.
Is it convenient to tell me your email address? I send you mel file. I am asking for your help. thank you.

[bshall]

Sure, you can send it to [email protected]

Just to check, you kept all the other preprocessing the same e.g. mu-law encoding and all the padding stuff here?