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deep-expression's Issues

how to generate a real tts

Hi currently your scripts re generate the original wav.
I did not find the way to do a text to speech based on a random phrase different from the original one. Maybe still not implemented?

what's is the inputs of network

in the train.py, you get predicted wav by "ypred = sess.run(yhat, feed_dict = {x:labels, y:wavs})". I can't understand tts's input is text and output is a wav, your project do a tts mission?

Inference doesn't work in this code

This would be amazing if it works!!!
But I am sorry, I think it is not really doing TTS. It requires the wave as input to the model which is not possible in prediction.

After running the training, I have tested the model prediction by filling y with zeros, it produces nothing. I looked at your reply issue #4, still not convinced. Could you please provide inference code to prove it?

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