def f_xvector(self, wavefile, kargs):
kpath = kargs.get('kpath', '')
k = kargs.get('ndim', 15)
assert os.path.isfile(kpath), 'kpath not exit'
assert os.path.isfile(wavefile), 'wav not exit'
(rate, sig) = self.__readwav(wavefile)
feat1 = idctcoeff(sig, rate, self.p_win_len, self.p_win_step,
self.p_pre_emphasis_coeff)
return _merge_feat(feat1, kpath, k)
def f_hdcc_fs(self, wavefile):
(rate, sig) = self.__readwav(wavefile)
feat1 = idctcoeff(sig, rate, self.p_win_len, self.p_win_step,
self.p_pre_emphasis_coeff)
row, clm = feat1.shape
spl = [
50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800,
900, 1000
]
xishu = list(sorted([int(rate / x) for x in spl] + [0]))
feat = np.zeros((row, len(spl)))
for i in range(len(xishu) - 1):
st = int(xishu[i])
ed = int(xishu[i + 1])
bst = feat1[:, st:ed]
liclist1 = np.sum(bst, axis=1)
if len(liclist1) == 0:
continue
feat[:, i] = liclist1
return feat
def f_hdcc_mel(self, wavefile):
(rate, sig) = self.__readwav(wavefile)
feat1 = idctcoeff(sig, rate, self.p_win_len, self.p_win_step,
self.p_pre_emphasis_coeff)
row, clm = feat1.shape
hzrange = 1000.0
spl = [
0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800,
900, 1000
]
melspl = [utils.hz2mel(xx) for xx in spl]
splhzhigh = utils.hz2mel(hzrange)
xishu = [x * clm / splhzhigh for x in melspl]
feat = np.zeros((row, len(spl) - 1))
for i in range(len(xishu) - 1):
st = int(xishu[i])
ed = int(xishu[i + 1])
bst = feat1[:, st:ed]
liclist1 = np.sum(bst, axis=1)
if len(liclist1) == 0:
continue
feat[:, i] = liclist1
return feat
def f_idct(self, wavefile):
assert os.path.isfile(wavefile)
(rate, sig) = self.__readwav(wavefile)
return idctcoeff(sig, rate, self.p_win_len, self.p_win_step,
self.p_pre_emphasis_coeff)