def mix_feature(tup):
mfcc = MFCC.extract(tup)
lpc = LPC.extract(tup)
if len(mfcc) == 0:
print >> sys.stderr, "ERROR.. failed to extract mfcc feature:", len(
tup[1])
return np.concatenate((mfcc, lpc), axis=1)
def mix_feature(self):
mfcc = MFCC.extract(self.FS, self.signal)
lpc = LPC.extract(self.FS, self.signal)
#if len(mfcc) == 0:
# print >> sys.stderr, "ERROR.. failed to extract mfcc feature:", len(tup[1])
#print "mfcc ",mfcc
#print "lpc ",lpc
return np.concatenate((mfcc, lpc), axis=1)
def get_mfcc_worker(params):
fpath, outpath = params
print('mfcc: ' + fpath)
fs, signal = wavfile.read(fpath)
mfcc = MFCC.extract(fs, signal)
mkdirp(os.path.dirname(outpath))
with open(outpath, 'w') as fout:
for x in mfcc:
print >> fout, " " . join(map(str, x))
def mix_feature(tup):
mfcc = MFCC.extract(tup)
lpc = LPC.extract(tup)
mfcc_1dif_coef = differentiate(mfcc)
mfcc_2dif_coef = differentiate(mfcc_1dif_coef)
if len(mfcc) == 0:
print >> sys.stderr, "ERROR.. failed to extract mfcc feature:", len(tup[1])
#pdb.set_trace()
#return np.concatenate((mfcc, lpc), axis=1) # 28 dimension
# 39 dimension: mfcc 0-12 coefficient, and 13 first-order differential coefficient
# 13 second-order differential coefficient
return np.concatenate((mfcc[:,0:13], mfcc_1dif_coef[:,0:13], mfcc_2dif_coef), axis=1)
def mix_feature(tup):
mfcc = MFCC.extract(tup)
lpc = LPC.extract(tup)
if len(mfcc) == 0:
print >> sys.stderr, "ERROR.. failed to extract mfcc feature:", len(tup[1])
return np.concatenate((mfcc, lpc), axis=1)
def mix_feature(tup):
bob = BOB.extract(tup)
lpc = LPC.extract(tup)
if len(bob) == 0:
print len(tup[1])
return np.concatenate((bob, lpc), axis=1)
def bob_19_6000_40(tup):
return bob_MFCC.extract(*tup, n_ceps=19, f_max=6000, n_filters=40)
def bob_19_6000_40(tup):
return bob_MFCC.extract(*tup, n_ceps=19, f_max=6000, n_filters=40)
def mix_feature(tup):
bob = BOB.extract(tup)
lpc = LPC.extract(tup)
if len(bob) == 0:
print len(tup[1])
return np.concatenate((bob, lpc), axis=1)
