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Reduce sampling temperature for voiced frames

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This commit is contained in:
Jean-Marc Valin 2018-10-13 14:52:30 -04:00
parent c74876bbc6
commit d75b51b18a
1 changed files with 5 additions and 3 deletions
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8
dnn/test_wavenet_audio.py
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@ -66,9 +66,11 @@ for c in range(0, nb_frames):
fexc[0, 0, 1] = lin2ulaw(pred)
p, state1, state2 = dec.predict([fexc, iexc, cfeat[:, fr:fr+1, :], state1, state2])
#p = p*p
#p = p/(1e-18 + np.sum(p))
p = np.maximum(p-0.001, 0).astype('float64')
#Lower the temperature for voiced frames to reduce noisiness
p *= np.power(p, np.maximum(0, 1.5*features[c, fr, 37] - .5))
p = p/(1e-18 + np.sum(p))
#Cut off the tail of the remaining distribution
p = np.maximum(p-0.0005, 0).astype('float64')
p = p/(1e-8 + np.sum(p))
iexc[0, 0, 0] = np.argmax(np.random.multinomial(1, p[0,0,:], 1))