def encode(self, wav, frame_len=0.025, frame_step=0.010):
winfunc=lambda x:np.hamming(x).reshape((1,x))
self.frame_len = int(frame_len * self.fs)
self.frame_step = int(frame_step * self.fs)
wav = frame.preemphasis(wav,coeff=0.97)##
self.energy = frame.get_energy(wav, self.frame_len, self.frame_step, winfunc=winfunc)
self.frames = frame.framesig(wav, self.frame_len, self.frame_step, winfunc=winfunc)
param_size = len(self._encode_frame(self.frames[0]))
self.params = np.zeros((self.frames.shape[0], param_size))
for i in range(self.frames.shape[0]):
self.params[i, :] = self._encode_frame(self.frames[i])
def decode(self, src_signal):
winfunc=lambda x:np.hamming(x).reshape((1,x))
src_energy = frame.get_energy(src_signal, self.frame_len, self.frame_step)
gain = self.energy / src_energy
gain_interp = np.interp(np.linspace(0,1,src_signal.shape[0]), np.linspace(0, 1, gain.shape[0]), gain)
src_signal *= gain_interp
src_frames = frame.framesig(src_signal, self.frame_len, self.frame_step)
for i in range(self.frames.shape[0]):
self.frames[i, :] = self._decode_frame(self.params[i, :], np.r_[src_frames[max(0,i-1)],src_frames[i]])[self.frame_len:]
wav = frame.deframesig(self.frames, src_signal.shape[0], self.frame_len, self.frame_step, winfunc=winfunc)
wav = frame.deemphasis(wav,coeff=0.97)##
#wav *= gain_interp
return wav
def encode(self, wav, frame_len=0.025, frame_step=0.010):
winfunc = lambda x: np.hamming(x).reshape((1, x))
self.frame_len = int(frame_len * self.fs)
self.frame_step = int(frame_step * self.fs)
wav = frame.preemphasis(wav, coeff=0.97) ##
self.energy = frame.get_energy(wav,
self.frame_len,
self.frame_step,
winfunc=winfunc)
self.frames = frame.framesig(wav,
self.frame_len,
self.frame_step,
winfunc=winfunc)
param_size = len(self._encode_frame(self.frames[0]))
self.params = np.zeros((self.frames.shape[0], param_size))
for i in range(self.frames.shape[0]):
self.params[i, :] = self._encode_frame(self.frames[i])
def decode(self, src_signal):
winfunc = lambda x: np.hamming(x).reshape((1, x))
src_energy = frame.get_energy(src_signal, self.frame_len,
self.frame_step)
gain = self.energy / src_energy
gain_interp = np.interp(np.linspace(0, 1, src_signal.shape[0]),
np.linspace(0, 1, gain.shape[0]), gain)
src_signal *= gain_interp
src_frames = frame.framesig(src_signal, self.frame_len,
self.frame_step)
for i in range(self.frames.shape[0]):
self.frames[i, :] = self._decode_frame(
self.params[i, :], np.r_[src_frames[max(0, i - 1)],
src_frames[i]])[self.frame_len:]
wav = frame.deframesig(self.frames,
src_signal.shape[0],
self.frame_len,
self.frame_step,
winfunc=winfunc)
wav = frame.deemphasis(wav, coeff=0.97) ##
#wav *= gain_interp
return wav
