shithub: opus

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most promising model for now

--- a/dnn/test_wavenet_audio.py

+++ b/dnn/test_wavenet_audio.py

@@ -42,7 +42,7 @@

-model.load_weights('lpcnet9_384_10_G16_29.h5')

+model.load_weights('lpcnet9_384_10_G16_120.h5')

 order = 16

@@ -70,7 +70,7 @@

             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 = np.maximum(p-0.002, 0).astype('float64')

             p = p/(1e-8 + np.sum(p))

             iexc[0, 0, 0] = np.argmax(np.random.multinomial(1, p[0,0,:], 1))

-- 

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