# %% Analysis loop
# Iterate over IRs
for ir_idx in range(I):
print('--------------------------------------------')
print('ITER: ', ir_idx)
# Get IR
ir_file_name = str(ir_idx) + '.wav'
ir_file_path = os.path.join(IR_folder_path, ir_file_name)
ir, sr = sf.read(ir_file_path)
assert sr == fs
# Compute real groundtruth RT60
rt60_true[ir_idx] = compute_t60(ir[:, 0], fs, rt60_f)[0, rt_method_idx]
# Iterate over audio files
for af_idx, af_path in enumerate(audio_files):
print(af_idx, af_path)
# Build result file name
result_file_name = str(ir_idx) + '_' + str(af_idx) + '.npy'
result_file_path = os.path.join(result_folder_path, result_file_name)
# %% Perform computation only if file does not exist
if not os.path.exists(result_file_path):
# Get dry audio signal
s_t = librosa.core.load(af_path, sr=fs,
mono=True)[0][af_start:af_end]
# %% Analysis loop
# Iterate over IRs
for ir_idx in range(I):
print('INSTRUMENT: ', instrument)
print('--------------------------------------------')
print('ITER: ', ir_idx)
# Get IR
ir_file_name = str(ir_idx) + '.wav'
ir_file_path = os.path.join(IR_folder_path, ir_file_name)
ir, sr = sf.read(ir_file_path)
assert sr == fs
# Compute real groundtruth RT60
rt60_true[ir_idx] = compute_t60(ir[:, 0], fs, rt60_f)[0, rt_method_idx]
# Iterate over audio files
for af_idx, af_path in enumerate(audio_files):
print(af_idx, af_path)
# Build result file name
result_file_name = str(ir_idx) + '_' + str(af_idx) + '.npy'
result_file_path = os.path.join(result_folder_path, result_file_name)
# %% Perform computation only if file does not exist
if not os.path.exists(result_file_path):
# Get dry audio signal
s_t = librosa.core.load(af_path, sr=fs,
mono=True)[0][af_start:af_end]
# Iterate over IRs
for ir_idx in range(3, 4):
print('--------------------------------------------')
print('ITER: ', ir_idx)
# Get IR
ir_file_name = str(ir_idx) + '.wav'
ir_file_path = os.path.join(IR_folder_path, ir_file_name)
ir, sr = sf.read(ir_file_path)
assert sr == fs
# early IR
early_IR = ir[:window_overlap * tau]
# Compute real groundtruth RT60
rt60_true = compute_t60(ir[:, 0], fs, rt60_f)[0, 1] # rt10
# Iterate over audio files
for af_idx, af_path in enumerate(audio_files[:1]):
print(af_idx, af_path)
# Build result file name
# result_file_name = str(ir_idx) + '_' + str(af_idx) + '.npy'
# result_file_path = os.path.join(result_folder_path, result_file_name)
# dry signal
s_t = librosa.core.load(af_path, sr=fs, mono=True)[0][af_start:af_end]
# Ensure there is audio
if np.allclose(s_t, 0):
warnings.warn('No audio content')
continue
filtersize)
# plt.figure()
# plt.plot(ir_true[iter])
# plt.plot(ir_est_true[iter], linestyle='--', label='true')
# plt.plot(ir_est_derv[iter], linestyle='--', label='derv')
# # plt.plot(np.abs(ir_est-ir), linestyle=':')
# plt.title('SID with non-overlapped STFT - true signal')
# plt.show()
# %% t60 estimation
plot = False
true = compute_t60(ir_true[iter],
fs,
band_centerfreqs,
plot=plot,
title='True IR')
est_true = compute_t60(ir_est_true[iter],
fs,
band_centerfreqs,
plot=plot,
title='Estimated IR, true signal')
est_derv = compute_t60(ir_est_derv[iter],
fs,
band_centerfreqs,
plot=plot,
title='Estimated IR, derv signal')
# Report values
print('--true rt60, true IR--')
rec_orders)
irs = srs.render_rirs_sh(abs_echograms, band_centerfreqs, fs).squeeze().T
if irs.ndim == 1:
irs = irs[np.newaxis, :]
# Normalize as SN3D
irs *= np.sqrt(4 * np.pi)
# %%
ir = irs[0]
for t_i, t in enumerate(rt60_types):
results_acoustics[i, :, t_i] = compute_t60_acoustics(ir,
fs,
band_centerfreqs,
rt=t)
results_mine[i, :, t_i] = compute_t60(ir, fs, band_centerfreqs, rt=t)
# %%
col = plt.rcParams['axes.prop_cycle'].by_key()['color']
for f_idx in range(nBands):
f = band_centerfreqs[f_idx]
plt.figure()
plt.title('all rt60 estimations, f=' + str(f))
plt.grid()
plt.plot(rt60_true[:, f_idx]) # true rt6 at 1k for all iterations
plt.plot(results_acoustics[:, f_idx], linestyle='--')
plt.plot(results_mine[:, f_idx], linestyle=':')
