def inputs(signal): signal_fft = zeros(256) i = 0 while(i + 400 < len(signal)): signal_fft = vstack([signal_fft, frame_fft(signal[i : i+400], window = 'Hamming', K = 512, N = 400, size1 = 256)]) i += 160 signal_fft = delete(signal_fft, 0, axis = 0) MFCC = zeros(13) for i in signal_fft: MFCC = vstack([MFCC, mfcc(i)]) MFCC = delete( MFCC, 0, axis = 0) return MFCC
while i < len(signal)-100:
# print i
object = part(i, signal)
i = object.end
simplelist.append(object)
print "end"
global_max = max( map( lambda x: x.maxima, simplelist))
new_list = filter( lambda x: x.maxima >= float(global_max)/16, simplelist)
print len(new_list), len(simplelist)
sig = []
for i in new_list:
sig = concatenate([sig, signal[i.start:i.end]])
# write("edited.wav", rate, sig)
signal_fft = zeros(256)
i = 0
while(i + 400 < len(signal)):
signal_fft = vstack([signal_fft, frame_fft(signal[i : i+400], window = 'Hamming', K = 512, N = 400, size1 = 256)])
i += 160
signal_fft = delete(signal_fft, 0, axis = 0)
MFCC = zeros(13)
for i in signal_fft:
MFCC = vstack([MFCC, mfcc(i)])
MFCC = delete( MFCC, 0, axis = 0)
savetxt("MFCC.csv", MFCC, delimiter = ',')
