jcvasquezc / phonet Goto Github PK

Hi

Have you published a paper describing this tool?

Also, as I understand, the toolkit will compute probabilities for each phoneme for a given audio file. Does it work for free speech too or just specific utterances.

Thanks

Hi @jcvasquezc

While using the disvoice library I encountered this AttributeError when importing the Adam optimizer from keras:
AttributeError: module 'keras.optimizers' has no attribute 'Adam'

This occurs in the phonet.py. What worked for me was replacing all the keras imports, for example from keras import optimizers to from tensorflow.keras import optimizers.

I don't know if it's only me getting this problem, if not, could you kindly make a release with this few changes.
Best regards.

I find your padding strategy in get_feat function of file phonet.py quite weird. First of all, you compute

fill=len(signal)%int(fs*self.size_frame*self.len_seq)

so with the default parameters this means that if a signal has length say strictly less than 16000=int(fs*self.size_frame*self.len_seq), then you are simply doubling its size regardless of the length (normally you pad to fill frames instead).

Moreover, in the next line you do:

fillv=0.05*np.random.randn(fill)-self.size_frame

so you substract the value size frame to the random signal used for padding. I don't know why you'd do that.