add alien data
authorMart Lubbers <mart@martlubbers.net>
Wed, 31 May 2017 07:57:41 +0000 (09:57 +0200)
committerMart Lubbers <mart@martlubbers.net>
Wed, 31 May 2017 07:57:41 +0000 (09:57 +0200)
orig/alien/01 - Consigned to Flames of War.flac [new file with mode: 0644]
orig/alien/01 - Hatred.flac [new file with mode: 0644]
predict.py

diff --git a/orig/alien/01 - Consigned to Flames of War.flac b/orig/alien/01 - Consigned to Flames of War.flac
new file mode 100644 (file)
index 0000000..13241ff
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diff --git a/orig/alien/01 - Hatred.flac b/orig/alien/01 - Hatred.flac
new file mode 100644 (file)
index 0000000..2b23711
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index 45e94da..de1abc2 100644 (file)
@@ -38,14 +38,13 @@ tier = tgob.add_tier('lyrics')
 window_len = int(1.0/winstep)
 
 x = model.predict(data, batch_size=32, verbose=0)
-s = np.r_[x[window_len-1:0:-1],x,x[-2:-window_len-1:-1]]
-w = np.hanning(window_len)
-
-smoothed = np.convolve(w/w.sum(), s[:,0], mode='valid')
-
-wavdata = np.uint8(list(map(int,
-    smoothed*255))[int(window_len/2):-1*(int(window_len/2))])
-
+#s = np.r_[x[window_len-1:0:-1],x,x[-2:-window_len-1:-1]]
+#w = np.hanning(window_len)
+#
+#smoothed = np.convolve(w/w.sum(), s[:,0], mode='valid')
+#wavdata = np.uint8(list(map(int,
+#    smoothed*255))[int(window_len/2):-1*(int(window_len/2))])
+wavdata = np.uint8(x*255)
 
 print('sr: ', int(1.0/winstep))
 print("len(wavdata): ", len(wavdata))