def test_synthesis_filter(self):
excite = self.ep.gen(self.f0)
mcep_mat = spec2mcep_from_matrix(self.spec_mat, self.order, self.alpha)
coef_mat = []
for i in range(mcep_mat.shape[0]):
coef_mat.append(mcep2coef(mcep_mat[i], 0.41))
coef_mat = np.array(coef_mat)
mlsa = MLSAFilter(self.order, self.alpha, 5)
syn = Synthesis(80, mlsa)
synth = syn.synthesis(excite, coef_mat)
def test_synthesis_filter(self):
excite = self.ep.gen(self.f0)
mcep_mat = spec2mcep_from_matrix(self.spec_mat, self.order, self.alpha)
coef_mat = []
for i in range(mcep_mat.shape[0]):
coef_mat.append(mcep2coef(mcep_mat[i], 0.41))
coef_mat = np.array(coef_mat)
mlsa = MLSAFilter(self.order, self.alpha, 5)
syn = Synthesis(80, mlsa)
synth = syn.synthesis(excite, coef_mat)
def test_mcep2coef(self):
mcep = spec2mcep(self.pspec, 20, self.alpha)
coef = mcep2coef(mcep, self.alpha)
mcep2 = coef2mcep(coef, self.alpha)
sqerr = np.sqrt((mcep - mcep2)**2).sum()
assert sqerr < 0.0001, sqerr
def test_mcep2coef(self):
mcep = spec2mcep(self.pspec, 20, self.alpha)
coef = mcep2coef(mcep, self.alpha)
mcep2 = coef2mcep(coef, self.alpha)
sqerr = np.sqrt((mcep - mcep2) ** 2).sum()
assert sqerr < 0.0001, sqerr
