def __init__(self, N_d, N_s, K, f_s, xi_map_type, xi_map_params,
cd_map_type, cd_map_params):
super().__init__(N_d, N_s, K, f_s)
"""
Argument/s
N_d - window duration (samples).
N_s - window shift (samples).
K - number of frequency bins.
f_s - sampling frequency.
_ - _____________.
"""
self.n_feat = K
self.n_outp = self.n_feat * 2
self.xi_map = map_selector(xi_map_type, xi_map_params)
self.cd_map = map_selector(cd_map_type, cd_map_params)
def __init__(self, N_d, N_s, K, f_s, xi_map_type, xi_map_params,
gamma_map_type, gamma_map_params):
super().__init__(N_d, N_s, K, f_s)
"""
Argument/s
N_d - window duration (samples).
N_s - window shift (samples).
K - number of frequency bins.
f_s - sampling frequency.
xi_map_type - instantaneous a priori SNR map type.
xi_map_params - parameters for the a priori SNR map.
gamma_map_type - instantaneous a posteriori SNR map type.
gamma_map_params - parameters for the a posteriori SNR map.
"""
self.n_feat = math.ceil(K / 2 + 1)
self.n_outp = self.n_feat * 2
self.xi_map = map_selector(xi_map_type, xi_map_params)
self.gamma_map = map_selector(gamma_map_type, gamma_map_params)
def __init__(self, N_d, N_s, K, f_s, xi_map_type, xi_map_params,
s_stps_map_type, s_stps_map_params):
super().__init__(N_d, N_s, K, f_s)
"""
Argument/s
N_d - window duration (samples).
N_s - window shift (samples).
K - number of frequency bins.
f_s - sampling frequency.
xi_map_type - instantaneous a priori SNR map type.
xi_map_params - parameters for the a priori SNR map.
s_stps_map_type - phase map type.
s_stps_map_params - parameters for the clean-speech STPS map.
"""
self.n_feat = math.ceil(K / 2 + 1) * 2
self.n_outp = self.n_feat
self.xi_map = map_selector(xi_map_type, xi_map_params)
self.s_stps_map = map_selector(s_stps_map_type, s_stps_map_params)
def __init__(self, N_d, N_s, K, f_s, mag_map_type, mag_map_params):
super().__init__(N_d, N_s, K, f_s)
"""
Argument/s
N_d - window duration (samples).
N_s - window shift (samples).
K - number of frequency bins.
f_s - sampling frequency.
mag_map_type - clean-speech STMS map type.
mag_map_params - parameters for the clean-speech STMS map.
"""
self.n_feat = math.ceil(K / 2 + 1)
self.n_outp = self.n_feat
self.mag_map = map_selector(mag_map_type, mag_map_params)