#################################################################
# 3 - Calc steering vector
print('Calc steering vector!')
print(' (angle_h, angle_v) = ', angle_h, angle_v)
sensor_positions = get_sensor_positions(hor_mic_count,
vert_mic_count,
dHor=dHor,
dVert=dVert)
source_position = get_source_position(angle_h, angle_v, radius=6.0)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
# 4 - DS filter
result_spec = ds_beamforming(stft_mix, d_arr.T)
# 5 - inverse STFT and save
sig_out = istft(result_spec.transpose((1, 0)), overlap=2)
out_ds_path = r'{}/tmp_ds.wav'.format(os.path.dirname(out_wav_path))
sf.write(out_ds_path, sig_out, sr)
# 6 - get noise mask
print('Get noise mask form neural net!')
# shape - (time, freq, 2)
config_path = r'/home/stc/MA_ALG/datasets/test_ma/' \
r'chimera_v12/9_chimera.json'
in_model_path = r'/home/stc/MA_ALG/datasets/test_ma/chimera_v12/checkpoint/'
frozen_model_path = r'/home/stc/MA_ALG/datasets/test_ma/chimera_frozen/model_chimera_v11.pb'
def params_iterate_null():
#base_name = 'out_mus1_spk1_snr_-10'
base_name = 'out_wgn_spk_snr_-10'
config = cfg.ConfigParser()
config.read(os.path.join(r'./data/_sdr_test', base_name, 'config.cfg'))
in_Main = r'./data/_sdr_test/' + base_name + r'/ds_mix.wav'
in_Main_Sp = r'./data/_sdr_test/' + base_name + r'/ds_spk.wav'
in_Main_Mus = r'./data/_sdr_test/' + base_name + r'/ds_mus.wav'
# #################################################################
# 1.0 - read PROFILE
vert_mic_count = int(config['MIC_CFG']['vert_mic_count'])
hor_mic_count = int(config['MIC_CFG']['hor_mic_count'])
dHor = float(config['MIC_CFG']['dhor'])
dVert = float(config['MIC_CFG']['dvert'])
max_len_sec = int(config['MIC_CFG']['max_len_sec'])
n_fft = int(config['MIC_CFG']['fft_size'])
angle_h = -float(config['FILTER_CFG']['angle_h'])
angle_v = -float(config['FILTER_CFG']['angle_v'])
angle_inf_h = -float(config['FILTER_CFG']['angle_inf_h'])
angle_inf_v = -float(config['FILTER_CFG']['angle_inf_v'])
in_wav_path = r'./data/_sdr_test/' + base_name + r'/mix'
out_wav_path = r'./data/out/'
_mix_start = float(config['FILTER_CFG']['start_mix_time'])
_mix_end = 30
#################################################################
#################################################################
# 1.0 - Read signal
x_all_arr, sr = read_mic_wav_from_folder(in_wav_path,
vert_mic_count,
hor_mic_count,
max_len_sec=max_len_sec)
ref_sp, _ = sf.read(in_Main_Sp)
ref_mus, _ = sf.read(in_Main_Mus)
mix, _ = sf.read(in_Main)
x_all_arr = x_all_arr[:, (np.int32)(_mix_start * sr):(np.int32)(_mix_end *
sr)]
ref_sp = ref_sp[:(np.int32)((_mix_end - _mix_start) * sr)]
ref_mus = ref_mus[:(np.int32)((_mix_end - _mix_start) * sr)]
mix = mix[(np.int32)(_mix_start * sr):(np.int32)(_mix_end * sr)]
(n_channels, n_samples) = x_all_arr.shape
print("Array data read done!")
print(" n_channels = ", n_channels)
print(" n_samples = ", n_samples)
print(" freq = ", sr)
#################################################################
# 2 - Do STFT
stft_all = stft_arr(x_all_arr, fftsize=n_fft)
(n_bins, n_sensors, n_frames) = stft_all.shape
print("STFT calc done!")
print(" n_bins = ", n_bins)
print(" n_sensors = ", n_sensors)
print(" n_frames = ", n_frames)
#################################################################
# 3 - Calc steering vector
print('Calc steering vector!')
print(' (angle_h, angle_v) = ', angle_h, angle_v)
print(' (angle_inf_h, angle_inf_v) = ', angle_inf_h, angle_inf_v)
sensor_positions = get_sensor_positions(hor_mic_count,
vert_mic_count,
dHor=dHor,
dVert=dVert)
source_position = get_source_position(angle_h, angle_v, radius=6.0)
source_position_inf = get_source_position(angle_inf_h,
angle_inf_v,
radius=6.0)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
d_arr_inf = propagation_vector_free_field(sensor_positions,
source_position_inf,
N_fft=n_fft,
F_s=sr)
#################################################################
# 4 - Calc DS beamforming in desired and noise direction
result_spec = ds_beamforming(stft_all, d_arr.T)
result_spec_inf = ds_beamforming(stft_all, d_arr_inf.T)
#################################################################
# 5 - ISTFT
sig_sp = istft(result_spec.transpose((1, 0)), overlap=2)
sig_inf = istft(result_spec_inf.transpose((1, 0)), overlap=2)
sf.write(r"out/out_ds_sp.wav", sig_sp, sr)
sf.write(r"out/out_ds_inf.wav", sig_inf, sr)
#################################################################
# 5.1 - NULL filter + cyclic parameters
out_spec, _ = null_filter(stft_all,
d_arr_sp=d_arr.T,
d_arr_inf=d_arr_inf.T)
sig_out = istft(out_spec.transpose((1, 0)), overlap=2)
sf.write(r"out/out_null.wav", sig_out, sr)
#result_spec, _ = null_filter_ex(stft_mix_arr, d_arr_sp=d_arr.T, lst_d_arr_inf=[d_arr_inf.T, d_arr_inf_d1.T, d_arr_inf_d2.T])
sdr_impr, sir_impr, sar_impr, sdr_base, sir_base, sar_base = calc_sdr_impr_metric(
ref_sp, ref_mus, mix, sig_out)
print(base_name)
print(
"sdr_impr, sir_impr, sar_impr = {}, {}, {}, sdr_base, sir_base, sar_base = {}, {}, {}\n"
.format(sdr_impr, sir_impr, sar_impr, sdr_base, sir_base, sar_base))
print('---------------------------------------------')
def run_once():
# #################################################################
# # 1.0 - _wav_wbn45_dict0 PROFILE
#
# vert_mic_count = 6
# hor_mic_count = 11
# dHor = 0.035
# dVert = 0.05
# max_len_sec = 45
# n_fft = 512
#
# (angle_hor_log, angle_vert_log) = (0.0, 0.0)
# (angle_inf_hor_log, angle_inf_vert_log) = (45, 0)
#
# angle_h = -angle_hor_log
# angle_v = -angle_vert_log
#
# angle_inf_h = -angle_inf_hor_log
# angle_inf_v = -angle_inf_vert_log
#
# angle_h = -angle_hor_log
# angle_v = -angle_vert_log
#
# _mix_start = 0.0
# _mix_end = 20.0
#
# in_wav_path = r'./data/_wav_wbn45_dict0/'
# out_wav_path = r'./data/out/'
# #################################################################
# #################################################################
# 1.0 - _sol PROFILE MVDR
vert_mic_count = 6
hor_mic_count = 11
dHor = 0.035
dVert = 0.05
max_len_sec = 3 * 60
n_fft = 512
(angle_hor_log, angle_vert_log) = (13.8845, 6.60824)
(angle_inf_hor_log, angle_inf_vert_log) = (-15.06, -0.31)
angle_h = -angle_hor_log
angle_v = -angle_vert_log
angle_inf_h = -angle_inf_hor_log
angle_inf_v = -angle_inf_vert_log
in_wav_path = r'./data/_sol/'
out_wav_path = r'./data/out/'
_mix_start = 28
_mix_end = 48
#################################################################
#################################################################
# 1.0 - Read signal
x_all_arr, sr = read_mic_wav_from_folder(in_wav_path,
vert_mic_count,
hor_mic_count,
max_len_sec=max_len_sec)
x_all_arr = x_all_arr[:, (np.int32)(_mix_start * sr):(np.int32)(_mix_end *
sr)]
(n_channels, n_samples) = x_all_arr.shape
print("Array data read done!")
print(" n_channels = ", n_channels)
print(" n_samples = ", n_samples)
print(" freq = ", sr)
#################################################################
# 2 - Do STFT
stft_all = stft_arr(x_all_arr, fftsize=n_fft)
(n_bins, n_sensors, n_frames) = stft_all.shape
print("STFT calc done!")
print(" n_bins = ", n_bins)
print(" n_sensors = ", n_sensors)
print(" n_frames = ", n_frames)
#################################################################
# 3 - Calc steering vector
print('Calc steering vector!')
print(' (angle_h, angle_v) = ', angle_h, angle_v)
print(' (angle_inf_h, angle_inf_v) = ', angle_inf_h, angle_inf_v)
sensor_positions = get_sensor_positions(hor_mic_count,
vert_mic_count,
dHor=dHor,
dVert=dVert)
source_position = get_source_position(angle_h, angle_v, radius=6.0)
source_position_inf = get_source_position(angle_inf_h,
angle_inf_v,
radius=6.0)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
d_arr_inf = propagation_vector_free_field(sensor_positions,
source_position_inf,
N_fft=n_fft,
F_s=sr)
#################################################################
# 4 - Calc DS beamforming in desired and noise direction
result_spec = ds_beamforming(stft_all, d_arr.T)
result_spec_inf = ds_beamforming(stft_all, d_arr_inf.T)
#################################################################
# 5 - ISTFT
sig_sp = istft(result_spec.transpose((1, 0)), overlap=2)
sig_inf = istft(result_spec_inf.transpose((1, 0)), overlap=2)
sf.write(r"out/out_ds_sp.wav", sig_sp, sr)
sf.write(r"out/out_ds_inf.wav", sig_inf, sr)
#################################################################
# 4 - NULL filter output
result_spec, _ = null_filter(stft_all,
d_arr_sp=d_arr.T,
d_arr_inf=d_arr_inf.T)
sig_out = istft(result_spec.transpose((1, 0)), overlap=2)
sf.write(r"out/out_null.wav", sig_out, sr)
#result_spec, _ = null_filter_ex(stft_mix_arr, d_arr_sp=d_arr.T, lst_d_arr_inf=[d_arr_inf.T, d_arr_inf_d1.T, d_arr_inf_d2.T])
# #################################################################
# # 6 - AP filter
# M = 200
# step = 0.05
# L = 5
# sig_result = affine_projection_filter(main=sig_sp, ref=sig_inf, M=M,step=step,L=5)
#################################################################
# 6.1 - AP filter + cyclic parameters
# M = 200
# step = 0.05
# L = 5
# leak = 0.0
# delay = -5
#params = [(200, 0.005, 5), (200, 0.05, 5), (200, 0.1, 5), (200, 0.5, 5)]
#params = [(200, 0.005, 5),(200, 0.005, 11), (200, 0.005, 25) , (200, 0.005, 35)]
params = [(100, 0.01, 5, 0.01, -5)]
for (M, step, L, leak, delay) in params:
print("process M = {}, step = {}, L = {}, leak = {}, dealy = {}".
format(M, step, L, leak, delay))
sig_inf = np.roll(sig_inf, delay)
sig_result = affine_projection_filter(main=sig_sp,
ref=sig_inf,
M=M,
step=step,
L=L,
leak=leak)
sf.write(
r"out/out_ap_null_M_{}_step_{}_L_{}_leak_{}_delay_{}.wav".format(
M, step, L, leak, delay), sig_result, sr)
sdr_impr, sir_impr, sar_impr, sdr_base, sir_base, sar_base = calc_sdr_impr_metric(
ref_sp, ref_mus, mix, sig_result)
print(base_name)
print(
"sdr_impr, sir_impr, sar_impr = {}, {}, {}, sdr_base, sir_base, sar_base = {}, {}, {}\n"
.format(sdr_impr, sir_impr, sar_impr, sdr_base, sir_base,
sar_base))
source_position,
N_fft=n_fft,
F_s=sr)
d_arr_inf = propagation_vector_free_field(sensor_positions,
source_position_inf,
N_fft=n_fft,
F_s=sr)
#################################################################
# 4 - Calc RTF steering vector
print('Calc RTF steering vector!')
#result_spec_rtf = rtf_filter(stft_mix, stft_chirp_sp_arr, 'simple')
result_spec_rtf = rtf_filter(stft_mix, stft_chirp_noise_arr, 'simple')
#################################################################
# 5 - Do DS beamforming
result_sp = ds_beamforming(stft_mix, d_arr.T)
result_noise = ds_beamforming(stft_mix, d_arr_inf.T)
#################################################################
# 5 - Write result
sig_out = istft(result_spec_rtf.transpose((1, 0)), overlap=n_overlap)
sf.write(r"out/out_DS_rtf.wav", sig_out, sr)
sig_out = istft(result_sp.transpose((1, 0)), overlap=n_overlap)
sf.write(r"out/out_DS_sp.wav", sig_out, sr)
sig_out = istft(result_noise.transpose((1, 0)), overlap=n_overlap)
sf.write(r"out/out_DS_noise.wav", sig_out, sr)
def params_iterate():
base_name = 'out_mus1_spk1_snr_-10'
#base_name = 'out_wgn_spk_snr_-10'
config = cfg.ConfigParser()
config.read(os.path.join(r'./data/_sdr_test', base_name, 'config.cfg'))
in_Main = r'./data/_sdr_test/' + base_name + r'/ds_mix.wav'
in_Main_Sp = r'./data/_sdr_test/' + base_name + r'/ds_spk.wav'
in_Main_Mus = r'./data/_sdr_test/' + base_name + r'/ds_mus.wav'
# #################################################################
# 1.0 - read PROFILE
vert_mic_count = int(config['MIC_CFG']['vert_mic_count'])
hor_mic_count = int(config['MIC_CFG']['hor_mic_count'])
dHor = float(config['MIC_CFG']['dhor'])
dVert = float(config['MIC_CFG']['dvert'])
max_len_sec = int(config['MIC_CFG']['max_len_sec'])
n_fft = int(config['MIC_CFG']['fft_size'])
angle_h = -float(config['FILTER_CFG']['angle_h'])
angle_v = -float(config['FILTER_CFG']['angle_v'])
angle_inf_h = -float(config['FILTER_CFG']['angle_inf_h'])
angle_inf_v = -float(config['FILTER_CFG']['angle_inf_v'])
in_wav_path = r'./data/_sdr_test/' + base_name + r'/mix'
out_wav_path = r'./data/out/'
_mix_start = float(config['FILTER_CFG']['start_mix_time'])
_mix_end = 30
#################################################################
#################################################################
# 1.0 - Read signal
x_all_arr, sr = read_mic_wav_from_folder(in_wav_path,
vert_mic_count,
hor_mic_count,
max_len_sec=max_len_sec)
ref_sp, _ = sf.read(in_Main_Sp)
ref_mus, _ = sf.read(in_Main_Mus)
mix, _ = sf.read(in_Main)
x_all_arr = x_all_arr[:, (np.int32)(_mix_start * sr):(np.int32)(_mix_end *
sr)]
ref_sp = ref_sp[:(np.int32)((_mix_end - _mix_start) * sr)]
ref_mus = ref_mus[:(np.int32)((_mix_end - _mix_start) * sr)]
mix = mix[(np.int32)(_mix_start * sr):(np.int32)(_mix_end * sr)]
(n_channels, n_samples) = x_all_arr.shape
print("Array data read done!")
print(" n_channels = ", n_channels)
print(" n_samples = ", n_samples)
print(" freq = ", sr)
#################################################################
# 2 - Do STFT
stft_all = stft_arr(x_all_arr, fftsize=n_fft)
(n_bins, n_sensors, n_frames) = stft_all.shape
print("STFT calc done!")
print(" n_bins = ", n_bins)
print(" n_sensors = ", n_sensors)
print(" n_frames = ", n_frames)
#################################################################
# 3 - Calc steering vector
print('Calc steering vector!')
print(' (angle_h, angle_v) = ', angle_h, angle_v)
print(' (angle_inf_h, angle_inf_v) = ', angle_inf_h, angle_inf_v)
sensor_positions = get_sensor_positions(hor_mic_count,
vert_mic_count,
dHor=dHor,
dVert=dVert)
source_position = get_source_position(angle_h, angle_v, radius=6.0)
source_position_inf = get_source_position(angle_inf_h,
angle_inf_v,
radius=6.0)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
d_arr_inf = propagation_vector_free_field(sensor_positions,
source_position_inf,
N_fft=n_fft,
F_s=sr)
#################################################################
# 4 - Calc DS beamforming in desired and noise direction
result_spec = ds_beamforming(stft_all, d_arr.T)
result_spec_inf = ds_beamforming(stft_all, d_arr_inf.T)
#################################################################
# 5 - ISTFT
sig_sp = istft(result_spec.transpose((1, 0)), overlap=2)
sig_inf = istft(result_spec_inf.transpose((1, 0)), overlap=2)
sf.write(r"out/out_ds_sp.wav", sig_sp, sr)
sf.write(r"out/out_ds_inf.wav", sig_inf, sr)
#################################################################
# 6.1 - AP filter + cyclic parameters
# M = 200
# step = 0.05
# L = 5
# leak = 0.0
# delay = -5
params = [
#(150, 0.005, 5, 0.001, 0),
(150, 0.005, 5, 0.001, 0),
(200, 0.05, 5, 0.001, 0),
]
for (M, step, L, leak, delay) in params:
print("process M = {}, step = {}, L = {}, leak = {}, delay = {}".
format(M, step, L, leak, delay))
sig_inf = np.roll(sig_inf, delay)
sig_result = affine_projection_filter(main=sig_sp,
ref=sig_inf,
M=M,
step=step,
L=L,
leak=leak)
sf.write(
r"out/out_ap_null_M_{}_step_{}_L_{}_leak_{}_delay_{}.wav".format(
M, step, L, leak, delay), sig_result, sr)
sdr_impr, sir_impr, sar_impr, sdr_base, sir_base, sar_base = calc_sdr_impr_metric(
ref_sp, ref_mus, mix, sig_result)
print(base_name)
print(
"sdr_impr, sir_impr, sar_impr = {}, {}, {}, sdr_base, sir_base, sar_base = {}, {}, {}\n"
.format(sdr_impr, sir_impr, sar_impr, sdr_base, sir_base,
sar_base))
print('---------------------------------------------')
stft_all = stft_arr(x_all_arr, fftsize = n_fft)
(n_bins, n_sensors, n_frames) = stft_all.shape
print ("STFT calc done!")
print (" n_bins = ", n_bins)
print (" n_sensors = ", n_sensors)
print (" n_frames = ", n_frames)
#################################################################
# 3 - Calc steering vector
print ('Calc steering vector!')
print (' (angle_h, angle_v) = ', angle_h, angle_v)
sensor_positions = get_sensor_positions(hor_mic_count, vert_mic_count, dHor = dHor, dVert = dVert)
source_position = get_source_position(angle_h, angle_v, radius = 6.0)
d_arr = propagation_vector_free_field(sensor_positions, source_position, N_fft = n_fft, F_s = sr)
#################################################################
# 4 - Calc DS filter output
result_spec = ds_beamforming(stft_all, d_arr.T)
#################################################################
# 5 - MCRA postfilter
result_spec = mcra_filter(stft_arr=result_spec)
#################################################################
# 5 inverse STFT and save
sig_out = istft(result_spec.transpose((1,0)), overlap = 2)
sf.write(r"out/out_DS_MCRA.wav", sig_out, sr)
# sf.write(r"out/out_HARD_NULL_{}.wav".format(alg_type), sig_out, sr)
# else:
#
# #################################################################
# # 4 - HARD NULL filter output
# alg_type = 2 #0-compensate ref, 1-spec subs, 2- SMB filter
# result_spec = hard_null_filter(stft_all, d_arr_sp=d_arr, d_arr_inf=d_arr_inf, alg_type=alg_type)
#
# #################################################################
# # 5 - Inverse STFT and save
# sig_out = istft(result_spec.transpose((1,0)), overlap = 2)
# sf.write(r"out/out_HARD_NULL_{}.wav".format(alg_type), sig_out, sr)
(n_bins, n_num_sensors, n_frames) = stft_all.shape
spec_sp = ds_beamforming(stft_all, d_arr.T)
spec_inf = ds_beamforming(stft_all, d_arr_inf.T)
gain_correction = np.zeros((n_bins), dtype=np.complex)
for i in range(n_bins):
d1 = d_arr[:, i]
d2 = d_arr_inf[:, i]
eq_i = np.dot(np.conj(d2), d1)
gain_correction[i] = eq_i / n_sensors
spec_corr_inf = np.expand_dims(gain_correction, axis=1) * spec_inf
#result_spec = spectral_substract_filter(stft_main=spec_sp, stft_ref=spec_inf, alfa_PX=0.01, alfa_PN=0.099)
result_spec = spectral_substract_filter(stft_main=spec_sp,
stft_ref=spec_corr_inf,
def do_ds():
#################################################################
# 1.0 - out_mus1_spk1_snr_-10 PROFILE
vert_mic_count = 6
hor_mic_count = 11
dHor = 0.035
dVert = 0.05
max_len_sec = 60
n_fft = 512
# (angle_hor_log, angle_vert_log) = (7.1539, 7.39515)
(angle_hor_log, angle_vert_log) = (-16.0721, -0.163439)
angle_h = -angle_hor_log
angle_v = -angle_vert_log
_mix_start = 10
_mix_end = 50
in_wav_path = r'./data/_sdr_test/out_mus1_spk1_snr_-15/mix/'
out_wav_path = r'./data/out/'
#################################################################
#################################################################
# 1.0 - Read signal
x_all_arr, sr = read_mic_wav_from_folder(in_wav_path,
vert_mic_count,
hor_mic_count,
max_len_sec=max_len_sec)
x_all_arr = x_all_arr[:, (np.int32)(_mix_start * sr):(np.int32)(_mix_end *
sr)]
(n_channels, n_samples) = x_all_arr.shape
print("Array data read done!")
print(" n_channels = ", n_channels)
print(" n_samples = ", n_samples)
print(" freq = ", sr)
#################################################################
# 2 - Do STFT
stft_all = stft_arr(x_all_arr, fftsize=n_fft)
(n_bins, n_sensors, n_frames) = stft_all.shape
print("STFT calc done!")
print(" n_bins = ", n_bins)
print(" n_sensors = ", n_sensors)
print(" n_frames = ", n_frames)
#################################################################
# 3 - Calc steering vector
print('Calc steering vector!')
print(' (angle_h, angle_v) = ', angle_h, angle_v)
sensor_positions = get_sensor_positions(hor_mic_count,
vert_mic_count,
dHor=dHor,
dVert=dVert)
source_position = get_source_position(angle_h, angle_v, radius=6.0)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
#################################################################
# 4 - Calc DS filter output
result_spec = ds_beamforming(stft_all, d_arr.T)
#################################################################
# 5 inverse STFT and save
sig_out = istft(result_spec.transpose((1, 0)), overlap=2)
sf.write(r"out/out_DS.wav", sig_out, sr)
#################################################################
# 3 - Calc map
POW = np.zeros((len(arr_angle_h), len(arr_angle_v)))
print("Begin calc map ...")
col = 0
for k in range(0, n_frames, frame_step):
print("Process frame {} .. {}, max {}".format(k, k + frame_step,
n_frames))
for i, angle_h in enumerate(arr_angle_h):
for j, angle_v in enumerate(arr_angle_v):
d_arr = arr_d_arr[i, j, :, :]
# 4 - Do beamforming
inst_spec = ds_beamforming(stft_arr[:, :, k:k + frame_step],
d_arr.T)
inst_pow = np.sum(inst_spec**2) / frame_step
POW[i, j] = inst_pow
# Display matrix
plt.matshow(POW.T)
plt.savefig('./out/png/mic_{}.png'.format(col))
plt.close()
col += 1
print("Calc map done!")
#################################################################
# 4 - Do align
#align_stft_arr = ds_align(stft_arr, d_arr.T)
def ds_respk():
# #################################################################
# 1.0 - AMI dataset small session
n_fft = 512
n_overlap = 2
r_circular_array = 0.1
mic_count = 8
in_wav_path = r'./data/_ami_data'
out_wav_path = r'./data/out/'
_mix_start = 15.0
_mix_end = 22.0
angle_azimuth = 64.0
#################################################################
# 1.0 - Read signal
x_all_arr, sr = read_mic_wav_from_path(in_wav_path, mic_count)
(n_channels, n_samples) = x_all_arr.shape
print("Array data read done!")
print(" n_channels = ", n_channels)
print(" n_samples = ", n_samples)
print(" freq = ", sr)
x_mix_arr = x_all_arr[:, (np.int32)(_mix_start * sr):(np.int32)(_mix_end *
sr)]
#################################################################
# 2 - Do STFT
stft_mix = stft_arr(x_mix_arr, fftsize=n_fft, overlap=n_overlap)
(n_bins, n_sensors, n_frames) = stft_mix.shape
print("STFT calc done!")
print(" n_bins = ", n_bins)
print(" n_sensors = ", n_sensors)
print(" n_frames = ", n_frames)
#################################################################
# 3 - Plot DN
angle_step = 1
print("Begin steering calc ...")
arr_angle = range(-180, 180, angle_step)
arr_d_arr = np.zeros((len(arr_angle), n_sensors, n_bins), dtype=np.complex)
print('arr_d_arr = ', arr_d_arr.shape)
for i, angle in enumerate(arr_angle):
sensor_positions = get_sensor_positions_circular(
r_circular_array, mic_count)
source_position = get_source_position_circular(azimuth=angle,
polar=90.0)
arr_d_arr[i, :, :] = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
print("Steering calc done!")
#################################################################
# 4 - Calc map
POW = np.zeros((len(arr_angle)))
print("Begin calc map ...")
for i, angle_h in enumerate(arr_angle):
print(" process angle = {}".format(angle_h))
d_arr = arr_d_arr[i, :, :]
# DS beamforming
result_spec = ds_beamforming(stft_mix, d_arr.T)
POW[i] = np.real(
np.sum(result_spec * np.conjugate(result_spec)) / n_frames)
print("Calc map done!")
#################################################################
# 5 - Scale to power ch_0_0
P0 = np.sum(stft_mix[:, 0, :] * np.conjugate(stft_mix[:, 0, :])) / n_frames
POW = POW / P0
#################################################################
# 6 - Plot DN
plt.plot(arr_angle, POW)
plt.xlabel('angle (s)')
plt.ylabel('pow_res/pow_s0')
plt.title('DS alg')
plt.grid(True)
plt.savefig(r".\out\DS_mic{}.png".format(mic_count))
plt.show()
#################################################################
# 7 - Do DS beamforming
print('Calc DS beamforming!')
print(' (angle_azimuth) = ', angle_azimuth)
sensor_positions = get_sensor_positions_circular(r_circular_array,
mic_count)
source_position = get_source_position_circular(azimuth=angle_azimuth,
polar=90.0)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
#################################################################
# 4 - Calc DS filter output
result_spec = ds_beamforming(stft_mix, d_arr.T)
#################################################################
# 5 inverse STFT and save
sig_out = istft(result_spec.transpose((1, 0)), overlap=n_overlap)
sf.write(r"out/out_DS_{}.wav".format(angle_azimuth), sig_out, sr)
def ds_respk():
# # #################################################################
# # 1.0 - simulation showroom, wgn WBN_16000hz
# n_fft = 512
# n_overlap = 2
#
# intermic_distance = 0.0457
# mic_count = 4
# in_wav_path = r'./data/_sim_shoroom/WBN_16000hz/4mic_output.wav'
# out_wav_path = r'./data/out/'
# _chirp_noise_start = 0
# _chirp_noise_end = 59
# _mix_start = 0
# _mix_end = 59
# angle_azimuth = 150.0
# #################################################################
# 1.0 - simulation showroom, wgn 2800_3800
n_fft = 512
n_overlap = 2
intermic_distance = 0.0457
mic_count = 4
#in_wav_path = r'./data/_sim_shoroom/WBN_2800_3800/4mic_output.wav'
in_wav_path = r'./data/_sim_shoroom/WBN_2800_3800/4mic_output_reflection_0.wav'
out_wav_path = r'./data/out/'
_chirp_noise_start = 0
_chirp_noise_end = 59
_mix_start = 0
_mix_end = 59
angle_azimuth = 0.0
# # #################################################################
# # 1.0 - stc-h873 ex2
# n_fft = 512
# n_overlap = 2
#
# intermic_distance = 0.05
# mic_count = 2
# in_wav_path = r'./data/_re_spk_ex2/stc-h873.wav'
# out_wav_path = r'./data/out/'
# _chirp_noise_start = 47
# _chirp_noise_end = 60 + 3
# _mix_start = 60 + 9
# _mix_end = 3*60 + 31
# angle_azimuth = 0.0
# # #################################################################
# # 1.0 - respeaker_mic_array ex2
# n_fft = 512
# n_overlap = 2
#
# intermic_distance = 0.0457
# mic_count = 4
# in_wav_path = r'./data/_re_spk_ex2/respeaker_mic_array.wav'
# out_wav_path = r'./data/out/'
# _chirp_noise_start = 40
# _chirp_noise_end = 56
# _mix_start = 60
# _mix_end = 3*60 + 22
# angle_azimuth = -50.0
# # #################################################################
# # 1.0 - respeaker_core_v2 ex2
# n_fft = 512
# n_overlap = 2
#
# intermic_distance = 0.0463
# mic_count = 6
# in_wav_path = r'./data/_re_spk_ex2/respeaker_core_v2.wav'
# out_wav_path = r'./data/out/'
# _chirp_noise_start = 52
# _chirp_noise_end = 69
# _mix_start = 70
# _mix_end = 3*60 + 35
# angle_azimuth = 30.0
# # #################################################################
# # 1.0 - respeaker_core_v2 ex1
# n_fft = 512
# n_overlap = 2
#
# intermic_distance = 0.0463
# mic_count = 6
# in_wav_path = r'./data/_re_spk_ex1/respeaker_core_v2.wav'
# out_wav_path = r'./data/out/'
# _chirp_noise_start = 15
# _chirp_noise_end = 60 + 48
# _mix_start = 10
# _mix_end = 15
# angle_azimuth = 30.0
# # #################################################################
# # 1.0 - respeaker_mic_array ex1
# n_fft = 512
# n_overlap = 2
#
# intermic_distance = 0.0457
# mic_count = 4
# in_wav_path = r'./data/_re_spk_ex2/respeaker_mic_array.wav'
# out_wav_path = r'./data/out/'
# _chirp_noise_start = 38
# _chirp_noise_end = 56
# _mix_start = 38
# _mix_end = 56
# angle_azimuth = -50.0
#################################################################
# 1.0 - Read signal
x_all_arr, sr = read_mic_wav_from_file(in_wav_path, mic_count)
(n_channels, n_samples) = x_all_arr.shape
print("Array data read done!")
print(" n_channels = ", n_channels)
print(" n_samples = ", n_samples)
print(" freq = ", sr)
x_chirp_noise_arr = x_all_arr[:,
(np.int32)(_chirp_noise_start *
sr):(np.int32)(_chirp_noise_end *
sr)]
x_mix_arr = x_all_arr[:, (np.int32)(_mix_start * sr):(np.int32)(_mix_end *
sr)]
#################################################################
# 2 - Do STFT
stft_mix = stft_arr(x_mix_arr, fftsize=n_fft, overlap=n_overlap)
stft_chirp_noise_arr = stft_arr(x_chirp_noise_arr,
fftsize=n_fft,
overlap=n_overlap)
(n_bins, n_sensors, n_frames) = stft_mix.shape
print("STFT calc done!")
print(" n_bins = ", n_bins)
print(" n_sensors = ", n_sensors)
print(" n_frames = ", n_frames)
#################################################################
# 3 - Plot DN
angle_step = 1
print("Begin steering calc ...")
arr_angle = range(-180, 180, angle_step)
arr_d_arr = np.zeros((len(arr_angle), n_sensors, n_bins), dtype=np.complex)
print('arr_d_arr = ', arr_d_arr.shape)
for i, angle in enumerate(arr_angle):
sensor_positions = get_sensor_positions_respeaker(
intermic_distance, mic_count)
source_position = get_source_position_respeaker(azimuth=angle,
polar=90)
arr_d_arr[i, :, :] = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
print("Steering calc done!")
#################################################################
# 4 - Calc map
POW = np.zeros((len(arr_angle)))
print("Begin calc map ...")
for i, angle_h in enumerate(arr_angle):
print(" process angle = {}".format(angle_h))
d_arr = arr_d_arr[i, :, :]
# DS beamforming
result_spec = ds_beamforming(stft_chirp_noise_arr, d_arr.T)
POW[i] = np.real(
np.sum(result_spec * np.conjugate(result_spec)) / n_frames)
print("Calc map done!")
#################################################################
# 5 - Scale to power ch_0_0
P0 = np.sum(stft_chirp_noise_arr[:, 0, :] *
np.conjugate(stft_chirp_noise_arr[:, 0, :])) / n_frames
POW = POW / P0
#################################################################
# 6 - Plot DN
plt.plot(arr_angle, POW)
plt.xlabel('angle (s)')
plt.ylabel('pow_res/pow_s0')
plt.title('DS alg')
plt.grid(True)
plt.savefig(r".\out\DS_mic{}.png".format(mic_count))
plt.show()
#################################################################
# 7 - Do DS beamforming
print('Calc steering vector!')
print(' (angle_azimuth) = ', angle_azimuth)
sensor_positions = get_sensor_positions_respeaker(intermic_distance,
mic_count)
source_position = get_source_position_respeaker(azimuth=angle_azimuth,
polar=90)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
#################################################################
# 4 - Calc DS filter output
result_spec = ds_beamforming(stft_mix, d_arr.T)
print('Calc RTF steering vector!')
result_spec_rtf = rtf_filter(stft_mix, stft_chirp_noise_arr, 'simple')
#################################################################
# 5 inverse STFT and save
sig_out = istft(result_spec.transpose((1, 0)), overlap=n_overlap)
sf.write(r"out/out_DS.wav", sig_out, sr)
sig_out = istft(result_spec_rtf.transpose((1, 0)), overlap=n_overlap)
sf.write(r"out/out_DS_rtf.wav", sig_out, sr)
#################################################################
# 3 - Calc Chebyshev weights
weights = get_chebyshev_weights_for_amplitudes(vert_mic_count,
hor_mic_count, n_bins)
# 4 - Calc steering vector with Chebyshev weights
print('Calc steering vector!')
print(' (angle_h, angle_v) = ', angle_h, angle_v)
sensor_positions = get_sensor_positions(hor_mic_count,
vert_mic_count,
dHor=dHor,
dVert=dVert)
source_position = get_source_position(angle_h, angle_v, radius=6.0)
d_arr = propagation_vector_free_field(sensor_positions,
source_position,
N_fft=n_fft,
F_s=sr)
d_arr_cheb = d_arr * weights
#################################################################
# 4 - Calc DS filter output
result_spec_cheb = ds_beamforming(stft_all, d_arr_cheb.T)
np.save('Chebyshev', result_spec_cheb)
#################################################################
# 5 inverse STFT and save
sig_out = istft(result_spec_cheb.transpose((1, 0)), overlap=2)
sf.write(r"out/out_rameses_cheb.wav", sig_out, sr)
