stashing stuff here

This commit is contained in:
Jean-Marc Valin 2018-07-12 18:20:25 -04:00
parent 679dfbab58
commit 374ba430c4
4 changed files with 21 additions and 19 deletions

View file

@ -47,7 +47,7 @@ in_data = np.reshape(in_data, (nb_frames*pcm_chunk_size, 1))
out_data = np.reshape(data, (nb_frames*pcm_chunk_size, 1))
model.load_weights('lpcnet1i_30.h5')
model.load_weights('lpcnet3a_21.h5')
order = 16
@ -61,7 +61,7 @@ for c in range(1, nb_frames):
cfeat = enc.predict(features[c:c+1, :, :nb_used_features])
for fr in range(1, feature_chunk_size):
f = c*feature_chunk_size + fr
a = features[c, fr, nb_used_features+1:]
a = features[c, fr, nb_used_features:]
#print(a)
gain = 1.;
@ -69,9 +69,10 @@ for c in range(1, nb_frames):
period = period - 4
for i in range(frame_size):
pitch[0, 0, 0] = exc[f*frame_size + i - period, 0]
fexc[0, 0, 0] = exc[f*frame_size + i - 1]
fexc[0, 0, 0] = 2*exc[f*frame_size + i - 1]
#fexc[0, 0, 0] = in_data[f*frame_size + i, 0]
#print(cfeat.shape)
p, state = dec.predict([fexc, pitch, cfeat[:, fr:fr+1, :], state])
p, state = dec.predict([fexc, cfeat[:, fr:fr+1, :], state])
p = p/(1e-5 + np.sum(p))
#print(np.sum(p))
iexc[0, 0, 0] = np.argmax(np.random.multinomial(1, p[0,0,:], 1))-128