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Voice Alignment and Conversion with Neural Networks and the WORLD codec.

License: MIT License

Python 0.68% Jupyter Notebook 99.28% MATLAB 0.04%
voice speech voice-conversion neural-network voice-alignment voice-generation speaker alignment dwt dynamic-time-warping sptk trajectory-generation mlpg mfcc

tiger-costume-voice-conversion's Issues

Data problems in Run_Models.ipynb

dataset_name = 'unos'
print('loading Source')
X = np.load(basePath+"/train_data/"+dataset_name+"/features/S_FULL.npy")
print('loading Target')
T = np.load(basePath+"/train_data/"+dataset_name+"/features/T_FULL.npy")
print(X.shape)
print(T.shape)
st_len = np.load(basePath+"/train_data/"+dataset_name+"/features/batchwise_length.npy")
print(st_len.shape)

The above npy file is from Dataset Analysis.ipynb？I didn't get results after trying，how to get them？

requirements.txt

hi
can you do a pip freeze of your environment and paste it here?
I need to use same torch version as you I think

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