def _analyze_world_features(self, x, f0_only=False):
feat = FeatureExtractor(
analyzer="world",
fs=self.conf["fs"],
fftl=self.conf["fftl"],
shiftms=self.conf["shiftms"],
minf0=self.sconf["minf0"],
maxf0=self.sconf["maxf0"],
)
# analyze world based features
self.feats["f0"], self.feats["spc"], self.feats["ap"] = feat.analyze(x)
self.feats["uv"], self.feats["cf0"] = convert_continuos_f0(
self.feats["f0"])
self.feats["lf0"] = np.log(self.feats["f0"] + EPS)
self.feats["lcf0"] = np.log(self.feats["cf0"])
if f0_only:
return
if self.conf["fftl"] != 256 and self.conf["fs"] > 16000:
# NOTE: 256 fft_size sometimes causes errors
self.feats["mcep"] = feat.mcep(dim=self.conf["mcep_dim"],
alpha=self.conf["mcep_alpha"])
self.feats["npow"] = feat.npow()
self.feats["cap"] = feat.codeap()
cap = self.feats["cap"]
self.feats["ccap"] = np.zeros(cap.shape)
self.feats["cap_uv"] = np.zeros(cap.shape)
for d in range(self.feats["ccap"].shape[-1]):
cap[np.where(cap[:, d] == max(cap[:, d])), d] = 0.0
(
self.feats["cap_uv"][:, d],
self.feats["ccap"][:, d],
) = convert_continuos_f0(cap[:, d])
def _analyze_world_features(self, x):
feat = FeatureExtractor(
analyzer="world",
fs=self.conf["fs"],
fftl=self.conf["fftl"],
shiftms=self.conf["shiftms"],
minf0=self.sconf["minf0"],
maxf0=self.sconf["maxf0"],
)
# analyze world based features
self.feats["f0"], self.feats["spc"], self.feats["ap"] = feat.analyze(x)
self.feats["mcep"] = feat.mcep(dim=self.conf["mcep_dim"],
alpha=self.conf["mcep_alpha"])
self.feats["npow"] = feat.npow()
self.feats["cap"] = feat.codeap()
cap = self.feats["cap"]
self.feats["ccap"] = np.zeros(cap.shape)
self.feats["cap_uv"] = np.zeros(cap.shape)
for d in range(self.feats["ccap"].shape[-1]):
cap[np.where(cap[:, d] == max(cap[:, d])), d] = 0.0
self.feats["cap_uv"][:, d], self.feats[
"ccap"][:, d] = convert_continuos_f0(cap[:, d])
self.feats["uv"], self.feats["cf0"] = convert_continuos_f0(
self.feats["f0"])
self.feats["lf0"] = np.log(self.feats["f0"] + EPS)
self.feats["lcf0"] = np.log(self.feats["cf0"])