if __name__ == '__main__':
# INPUT:==============================================================================
wav_file_orig = 'data_48k/wavs_nat/hvd_593.wav' # Original natural waveform. You can choose any of the provided ones in the /wavs_nat directory.
out_dir = 'data_48k/wavs_syn' # Where the synthesised waveform will be stored
b_plots = True # True if you want to plot the extracted parameters.
# PROCESS:============================================================================
lu.mkdir(out_dir)
# ANALYSIS:
print("Analysing.....................................................")
m_mag, m_real, m_imag, v_f0, fs, v_shift = mp.analysis_lossless(
wav_file_orig)
# MODIFICATIONS:
# You can modify the parameters here if wanted.
# SYNTHESIS:
print("Synthesising.................................................")
v_syn_sig = mp.synthesis_from_lossless(m_mag, m_real, m_imag, v_f0, fs)
# SAVE WAV FILE:
print("Saving wav file..............................................")
wav_file_syn = out_dir + '/' + lu.get_filename(
wav_file_orig) + '_copy_syn_lossless.wav'
la.write_audio_file(wav_file_syn, v_syn_sig, fs)
# PLOTS:===============================================================================
def speech_interp_with_anchors(wavfile_a, wavfile_b, nx_strt_a, nx_strt_b, nframes, fft_len):
# MagPhase analysis:
m_mag_a, m_real_a, m_imag_a, v_f0_a, fs, v_shift_a = mp.analysis_lossless(wavfile_a)
m_mag_b, m_real_b, m_imag_b, v_f0_b, fs, v_shift_b = mp.analysis_lossless(wavfile_b)
v_pm_a = la.shift_to_pm(v_shift_a)
v_pm_b = la.shift_to_pm(v_shift_b)
v_sig_a, fs = la.read_audio_file(wavfile_a)
v_sig_b, fs = la.read_audio_file(wavfile_b)
# Get formants:
v_mag_db_a_dummy, v_lpc_mag_db_a, v_frmnts_bins_a, v_frmnts_gains_db_a, v_frmnts_bw_a, v_frm_short_a, shift_a = get_formant_locations_from_raw_long_frame(v_sig_a, v_pm_a, nx_strt_a, fft_len)
v_mag_db_b_dummy, v_lpc_mag_db_b, v_frmnts_bins_b, v_frmnts_gains_db_b, v_frmnts_bw_b, v_frm_short_b, shift_b = get_formant_locations_from_raw_long_frame(v_sig_b, v_pm_b, nx_strt_a+nframes, fft_len)
# Formant mapping:----------------------------------------------------------------
v_frmnts_bins_a_filt, v_frmnts_bins_b_filt = formant_mapping(v_frmnts_bins_a, v_frmnts_gains_db_a, v_frmnts_bins_b, v_frmnts_gains_db_b, fft_len)
v_shifts_syn = np.zeros(nframes, dtype='int')
m_frms_syn = np.zeros((nframes, fft_len))
for nx_frm in xrange(nframes):
sp_weight = nx_frm / (nframes-1.0)
nx_a = nx_strt_a + nx_frm
nx_b = nx_strt_b + nx_frm
# Computing mag spectrum:
v_mag_db_a = get_formant_locations_from_raw_long_frame(v_sig_a, v_pm_a, nx_a, fft_len)[0]
v_mag_db_b = get_formant_locations_from_raw_long_frame(v_sig_b, v_pm_b, nx_b, fft_len)[0]
# NOT FINISHED !!
# Warping:---------------------------------------------------------------------
# True envelope:
v_true_env_db_a = la.true_envelope(v_mag_db_a[None,:], in_type='db', ncoeffs=400, thres_db=0.1)[0]
v_true_env_db_b = la.true_envelope(v_mag_db_b[None,:], in_type='db', ncoeffs=400, thres_db=0.1)[0]
v_sp_env_db_a_warp = warp_mag_spec(v_true_env_db_a, v_frmnts_bins_a_filt, v_frmnts_bins_b_filt, fft_len, sp_weight)
v_sp_env_db_b_warp = warp_mag_spec(v_true_env_db_b, v_frmnts_bins_b_filt, v_frmnts_bins_a_filt, fft_len, (1-sp_weight))
#v_sp_env_db_a_warp = warp_mag_spec(v_lpc_mag_db_a, v_frmnts_bins_a_filt, v_frmnts_bins_b_filt, fft_len, sp_weight)
#v_sp_env_db_b_warp = warp_mag_spec(v_lpc_mag_db_b, v_frmnts_bins_b_filt, v_frmnts_bins_a_filt, fft_len, (1-sp_weight))
# Spectral envelope mix:-------------------------------------------------------
v_sp_env_db_targ = v_sp_env_db_a_warp * (1.0-sp_weight) + v_sp_env_db_b_warp * sp_weight
# Source mix:------------------------------------------------------------------
v_spec_diff_db_a = v_sp_env_db_targ - v_true_env_db_a
v_spec_diff_db_b = v_sp_env_db_targ - v_true_env_db_b
# Filtering (FFT filter):
v_frm_short_a_ext_filt = fft_filter(v_frm_short_a, shift_a, v_spec_diff_db_a, fft_len)
v_frm_short_b_ext_filt = fft_filter(v_frm_short_b, shift_b, v_spec_diff_db_b, fft_len)
# Mix signal:
v_frm_short_ext_filt = v_frm_short_a_ext_filt * (1.0-sp_weight) + v_frm_short_b_ext_filt * sp_weight
#v_frm_short_ext_filt = v_frm_short_a_ext_filt
# Mix shifts:
shift_mix = lu.round_to_int(shift_a * (1.0-sp_weight) + shift_b * sp_weight)
# Save:
v_shifts_syn[nx_frm] = shift_mix
m_frms_syn[nx_frm, :] = v_frm_short_ext_filt
if False:
plt.figure(); plt.plot(v_frm_short_a_ext_filt); plt.plot(v_frm_short_b_ext_filt); plt.grid(); plt.show()
plt.figure(); plt.plot(v_frm_short_a_ext_filt); plt.plot(v_frm_short_b_ext_filt); plt.plot(v_frm_short_ext_filt); plt.grid(); plt.show()
# Merge:
m_frms_syn_dc = np.fft.fftshift(m_frms_syn, axes=1)
m_fft_syn = la.remove_hermitian_half(np.fft.fft(m_frms_syn_dc))
m_mag_syn, m_real_syn, m_imag_syn = compute_lossless_spec_feats(m_fft_syn)
m_mag_merged = np.vstack((m_mag_a[:nx_strt_a,:] , m_mag_syn , m_mag_b[(nx_strt_b+nframes):,:]))
m_real_merged = np.vstack((m_real_a[:nx_strt_a,:] , m_real_syn , m_real_b[(nx_strt_b+nframes):,:]))
m_imag_merged = np.vstack((m_imag_a[:nx_strt_a,:] , m_imag_syn , m_imag_b[(nx_strt_b+nframes):,:]))
v_shift_merged = np.r_[ v_shift_a[:nx_strt_a] , v_shifts_syn , v_shift_b[(nx_strt_b+nframes):] ]
v_sig_merged = synthesis_from_lossless(m_mag_merged, m_real_merged, m_imag_merged, v_shift_merged)
return v_sig_merged, fs
def speech_interp(wavfile_a, wavfile_b, nx_strt_a, nx_strt_b, nframes,
fft_len):
# MagPhase analysis:
m_mag_a, m_real_a, m_imag_a, v_f0_a, fs, v_shift_a = mp.analysis_lossless(
wavfile_a)
m_mag_b, m_real_b, m_imag_b, v_f0_b, fs, v_shift_b = mp.analysis_lossless(
wavfile_b)
v_pm_a = la.shift_to_pm(v_shift_a)
v_pm_b = la.shift_to_pm(v_shift_b)
v_sig_a, fs = la.read_audio_file(wavfile_a)
v_sig_b, fs = la.read_audio_file(wavfile_b)
# Epoch detection:
#v_pm_sec_a, v_voi_a = la.reaper_epoch_detection(wavfile_a)
#v_pm_sec_b, v_voi_b = la.reaper_epoch_detection(wavfile_b)
#v_pm_a = lu.round_to_int(v_pm_sec_a * fs)
#v_pm_b = lu.round_to_int(v_pm_sec_b * fs)
#m_frms_syn = np.zeros((nframes, fft_len))
fft_len_half = 1 + fft_len / 2
m_mag_interp = np.zeros((nframes, fft_len_half))
m_real_interp = np.zeros((nframes, fft_len_half))
m_imag_interp = np.zeros((nframes, fft_len_half))
v_shifts_interp = np.zeros(nframes, dtype='int')
for nx_frm in xrange(nframes):
sp_weight = nx_frm / (nframes - 1.0)
nx_a = nx_strt_a + nx_frm
nx_b = nx_strt_b + nx_frm
# Get formants:
v_mag_db_a, v_lpc_mag_db_a, v_frmnts_bins_a, v_frmnts_gains_db_a, v_frmnts_bw_a, v_frm_short_a, shift_a = get_formant_locations_from_raw_long_frame(
v_sig_a, v_pm_a, nx_a, fft_len)
v_mag_db_b, v_lpc_mag_db_b, v_frmnts_bins_b, v_frmnts_gains_db_b, v_frmnts_bw_b, v_frm_short_b, shift_b = get_formant_locations_from_raw_long_frame(
v_sig_b, v_pm_b, nx_b, fft_len)
# Formant mapping:----------------------------------------------------------------
v_frmnts_bins_a_filt, v_frmnts_bins_b_filt = formant_mapping(
v_frmnts_bins_a, v_frmnts_gains_db_a, v_frmnts_bins_b,
v_frmnts_gains_db_b, fft_len)
# Warping:---------------------------------------------------------------------
# True envelope:
v_true_env_db_a = la.true_envelope(v_mag_db_a[None, :],
in_type='db',
ncoeffs=400,
thres_db=0.1)[0]
v_true_env_db_b = la.true_envelope(v_mag_db_b[None, :],
in_type='db',
ncoeffs=400,
thres_db=0.1)[0]
v_sp_env_db_a_warp = warp_mag_spec(v_true_env_db_a,
v_frmnts_bins_a_filt,
v_frmnts_bins_b_filt, fft_len,
sp_weight)
v_sp_env_db_b_warp = warp_mag_spec(v_true_env_db_b,
v_frmnts_bins_b_filt,
v_frmnts_bins_a_filt, fft_len,
(1 - sp_weight))
#v_sp_env_db_a_warp = warp_mag_spec(v_lpc_mag_db_a, v_frmnts_bins_a_filt, v_frmnts_bins_b_filt, fft_len, sp_weight)
#v_sp_env_db_b_warp = warp_mag_spec(v_lpc_mag_db_b, v_frmnts_bins_b_filt, v_frmnts_bins_a_filt, fft_len, (1-sp_weight))
# Spectral envelope mix:-------------------------------------------------------
v_sp_env_db_targ = v_sp_env_db_a_warp * (
1.0 - sp_weight) + v_sp_env_db_b_warp * sp_weight
# Impose spectral Env (FFT filter):------------------------------------------------------
v_sp_env_diff_db_a = v_sp_env_db_targ - v_true_env_db_a
v_sp_env_diff_db_b = v_sp_env_db_targ - v_true_env_db_b
#v_frm_short_a_ext_filt = fft_filter(v_frm_short_a, shift_a, v_spec_diff_db_a, fft_len)
#v_frm_short_b_ext_filt = fft_filter(v_frm_short_b, shift_b, v_spec_diff_db_b, fft_len)
#v_sp_env_diff_a = la.db(v_sp_env_diff_db_a, b_inv=True)
v_mag_filt_a = m_mag_a[nx_a, :] * la.db(v_sp_env_diff_db_a, b_inv=True)
#v_sp_env_diff_b = la.db(v_sp_env_diff_db_b, b_inv=True)
v_mag_filt_b = m_mag_b[nx_b, :] * la.db(v_sp_env_diff_db_b, b_inv=True)
#fft_filter_magphase_domain(m_mag_a[nx_a,:], m_real_a[nx_a,:], m_imag_a[nx_a,:])
# Mix Sources:------------------------------------------------------------------
v_mag_mix = v_mag_filt_a * (1.0 - sp_weight) + v_mag_filt_b * sp_weight
v_real_mix = m_real_a[nx_a, :] * (
1.0 - sp_weight) + m_real_b[nx_b, :] * sp_weight
v_imag_mix = m_imag_a[nx_a, :] * (
1.0 - sp_weight) + m_imag_b[nx_b, :] * sp_weight
# Mix sources:
#v_frm_short_ext_filt = v_frm_short_a_ext_filt * (1.0-sp_weight) + v_frm_short_b_ext_filt * sp_weight
#v_frm_short_ext_filt = v_frm_short_a_ext_filt
# Mix shifts:
shift_mix = lu.round_to_int(shift_a * (1.0 - sp_weight) +
shift_b * sp_weight)
# Save:
v_shifts_interp[nx_frm] = shift_mix
m_mag_interp[nx_frm, :] = v_mag_mix
m_real_interp[nx_frm, :] = v_real_mix
m_imag_interp[nx_frm, :] = v_imag_mix
#m_frms_syn[nx_frm, :] = v_frm_short_ext_filt
if False:
plt.figure()
plt.plot(v_frm_short_a_ext_filt)
plt.plot(v_frm_short_b_ext_filt)
plt.grid()
plt.show()
plt.figure()
plt.plot(v_frm_short_a_ext_filt)
plt.plot(v_frm_short_b_ext_filt)
plt.plot(v_frm_short_ext_filt)
plt.grid()
plt.show()
# Merge:
#m_frms_syn_dc = np.fft.fftshift(m_frms_syn, axes=1)
#m_fft_syn = la.remove_hermitian_half(np.fft.fft(m_frms_syn_dc))
#m_mag_syn, m_real_syn, m_imag_syn = compute_lossless_spec_feats(m_fft_syn)
m_mag_merged = np.vstack((m_mag_a[:nx_strt_a, :], m_mag_interp,
m_mag_b[(nx_strt_b + nframes):, :]))
m_real_merged = np.vstack((m_real_a[:nx_strt_a, :], m_real_interp,
m_real_b[(nx_strt_b + nframes):, :]))
m_imag_merged = np.vstack((m_imag_a[:nx_strt_a, :], m_imag_interp,
m_imag_b[(nx_strt_b + nframes):, :]))
v_shift_merged = np.r_[v_shift_a[:nx_strt_a], v_shifts_interp,
v_shift_b[(nx_strt_b + nframes):]]
v_sig_merged = synthesis_from_lossless(m_mag_merged, m_real_merged,
m_imag_merged, v_shift_merged)
return v_sig_merged, fs
def speech_interp_with_anchors(wavfile_a, wavfile_b, nx_strt_a, nx_strt_b,
nframes, fft_len):
# MagPhase analysis:
m_mag_a, m_real_a, m_imag_a, v_f0_a, fs, v_shift_a = mp.analysis_lossless(
wavfile_a)
m_mag_b, m_real_b, m_imag_b, v_f0_b, fs, v_shift_b = mp.analysis_lossless(
wavfile_b)
v_pm_a = la.shift_to_pm(v_shift_a)
v_pm_b = la.shift_to_pm(v_shift_b)
v_sig_a, fs = la.read_audio_file(wavfile_a)
v_sig_b, fs = la.read_audio_file(wavfile_b)
# Get formants:
v_mag_db_a, v_lpc_mag_db_a, v_frmnts_bins_a, v_frmnts_gains_db_a, v_frmnts_bw_a, v_frm_short_a, shift_a = get_formant_locations_from_raw_long_frame(
v_sig_a, v_pm_a, nx_strt_a, fft_len)
v_mag_db_b, v_lpc_mag_db_b, v_frmnts_bins_b, v_frmnts_gains_db_b, v_frmnts_bw_b, v_frm_short_b, shift_b = get_formant_locations_from_raw_long_frame(
v_sig_b, v_pm_b, nx_strt_b + nframes - 1, fft_len)
# Formant mapping:----------------------------------------------------------------
v_frmnts_bins_a_filt, v_frmnts_bins_b_filt = formant_mapping(
v_frmnts_bins_a, v_frmnts_gains_db_a, v_frmnts_bins_b,
v_frmnts_gains_db_b, fft_len)
# spec envelope anchors:---------------------------------------------------------------------
v_true_env_db_a = la.true_envelope(v_mag_db_a[None, :],
in_type='db',
ncoeffs=400,
thres_db=0.1)[0]
v_true_env_db_b = la.true_envelope(v_mag_db_b[None, :],
in_type='db',
ncoeffs=400,
thres_db=0.1)[0]
if False:
plt.figure()
plt.plot(v_mag_db_a)
plt.plot(v_true_env_db_a)
plt.grid()
plt.show()
plt.figure()
plt.plot(v_mag_db_b)
plt.plot(v_true_env_db_b)
plt.grid()
plt.show()
fft_len_half = 1 + fft_len / 2
m_mag_interp = np.zeros((nframes, fft_len_half))
m_real_interp = np.zeros((nframes, fft_len_half))
m_imag_interp = np.zeros((nframes, fft_len_half))
v_shifts_interp = np.zeros(nframes, dtype='int')
for nx_frm in xrange(nframes):
sp_weight = nx_frm / (nframes - 1.0)
nx_a = nx_strt_a + nx_frm
nx_b = nx_strt_b + nx_frm
# Spectral Warping:
v_sp_env_db_curr_a_warp = warp_mag_spec(v_true_env_db_a,
v_frmnts_bins_a_filt,
v_frmnts_bins_b_filt, fft_len,
sp_weight)
v_sp_env_db_curr_b_warp = warp_mag_spec(v_true_env_db_b,
v_frmnts_bins_b_filt,
v_frmnts_bins_a_filt, fft_len,
(1 - sp_weight))
#v_sp_env_db_a_warp = warp_mag_spec(v_lpc_mag_db_a, v_frmnts_bins_a_filt, v_frmnts_bins_b_filt, fft_len, sp_weight)
#v_sp_env_db_b_warp = warp_mag_spec(v_lpc_mag_db_b, v_frmnts_bins_b_filt, v_frmnts_bins_a_filt, fft_len, (1-sp_weight))
# Spectral envelope mix:-------------------------------------------------------
v_sp_env_db_curr_targ = v_sp_env_db_curr_a_warp * (
1.0 - sp_weight) + v_sp_env_db_curr_b_warp * sp_weight
# Whitening:-----------------------------------------------------------------------------
# Spectral envelope estimation:
# v_mag_db_a, v_lpc_mag_db_a, v_frmnts_bins_a, v_frmnts_gains_db_a, v_frmnts_bw_a, v_frm_short_a, shift_a = get_formant_locations_from_raw_long_frame(v_sig_a, v_pm_a, nx_a, fft_len)
v_mag_db_curr_a = get_formant_locations_from_raw_long_frame(
v_sig_a, v_pm_a, nx_a, fft_len)[0]
v_mag_db_curr_b = get_formant_locations_from_raw_long_frame(
v_sig_b, v_pm_b, nx_b, fft_len)[0]
v_true_env_db_curr_a = la.true_envelope(v_mag_db_curr_a[None, :],
in_type='db',
ncoeffs=400,
thres_db=0.1)[0]
v_true_env_db_curr_b = la.true_envelope(v_mag_db_curr_b[None, :],
in_type='db',
ncoeffs=400,
thres_db=0.1)[0]
v_mag_white_a = m_mag_a[nx_a, :] / la.db(v_true_env_db_curr_a,
b_inv=True)
v_mag_white_b = m_mag_b[nx_b, :] / la.db(v_true_env_db_curr_b,
b_inv=True)
#if sp_weight>=0.4: import ipdb; ipdb.set_trace(context=8) # breakpoint 6b3a7d8b //
if False:
plt.figure()
plt.plot(v_mag_db_curr_a)
plt.plot(v_true_env_db_curr_a)
plt.grid()
plt.show()
plt.figure()
plt.plot(v_true_env_db_curr_a)
plt.plot(v_true_env_db_curr_b)
plt.plot(v_sp_env_db_curr_targ)
plt.grid()
plt.show()
plt.figure()
plt.plot(v_mag_db_curr_a)
plt.plot(la.db(m_mag_a[nx_a, :]))
plt.plot(la.db(v_mag_white_a))
plt.plot(v_true_env_db_curr_a)
plt.grid()
plt.show()
# Impose spectral Env:------------------------------------------------------------------
v_sp_env_targ = la.db(v_sp_env_db_curr_targ, b_inv=True)
v_mag_filt_a = v_mag_white_a * v_sp_env_targ
v_mag_filt_b = v_mag_white_b * v_sp_env_targ
# Mix Sources:------------------------------------------------------------------
v_mag_mix = v_mag_filt_a * (1.0 - sp_weight) + v_mag_filt_b * sp_weight
v_real_mix = m_real_a[nx_a, :] * (
1.0 - sp_weight) + m_real_b[nx_b, :] * sp_weight
v_imag_mix = m_imag_a[nx_a, :] * (
1.0 - sp_weight) + m_imag_b[nx_b, :] * sp_weight
# Mix shifts:
shift_mix = lu.round_to_int(shift_a * (1.0 - sp_weight) +
shift_b * sp_weight)
# Save:
v_shifts_interp[nx_frm] = shift_mix
m_mag_interp[nx_frm, :] = v_mag_mix
m_real_interp[nx_frm, :] = v_real_mix
m_imag_interp[nx_frm, :] = v_imag_mix
if False:
plt.figure()
plt.plot(v_frm_short_a_ext_filt)
plt.plot(v_frm_short_b_ext_filt)
plt.grid()
plt.show()
plt.figure()
plt.plot(v_frm_short_a_ext_filt)
plt.plot(v_frm_short_b_ext_filt)
plt.plot(v_frm_short_ext_filt)
plt.grid()
plt.show()
# Merge:
m_mag_merged = np.vstack((m_mag_a[:nx_strt_a, :], m_mag_interp,
m_mag_b[(nx_strt_b + nframes):, :]))
m_real_merged = np.vstack((m_real_a[:nx_strt_a, :], m_real_interp,
m_real_b[(nx_strt_b + nframes):, :]))
m_imag_merged = np.vstack((m_imag_a[:nx_strt_a, :], m_imag_interp,
m_imag_b[(nx_strt_b + nframes):, :]))
v_shift_merged = np.r_[v_shift_a[:nx_strt_a], v_shifts_interp,
v_shift_b[(nx_strt_b + nframes):]]
v_sig_merged = synthesis_from_lossless(m_mag_merged, m_real_merged,
m_imag_merged, v_shift_merged)
return v_sig_merged, fs
if __name__ == '__main__':
# INPUT:==============================================================================
wav_file_orig = 'data_48k/wavs_nat/hvd_593.wav' # Original natural waveform. You can choose any of the provided ones in the /wavs_nat directory.
out_dir = 'data_48k/wavs_syn' # Where the synthesised waveform will be stored
b_plots = True # True if you want to plot the extracted parameters.
# PROCESS:============================================================================
lu.mkdir(out_dir)
# ANALYSIS:
print("Analysing.....................................................")
m_mag, m_real, m_imag, v_f0, fs, v_shift = mp.analysis_lossless(wav_file_orig)
# MODIFICATIONS:
# You can modify the parameters here if wanted.
# SYNTHESIS:
print("Synthesising.................................................")
v_syn_sig = mp.synthesis_from_lossless(m_mag, m_real, m_imag, v_f0, fs)
# SAVE WAV FILE:
print("Saving wav file..............................................")
wav_file_syn = out_dir + '/' + lu.get_filename(wav_file_orig) + '_copy_syn_lossless.wav'
la.write_audio_file(wav_file_syn, v_syn_sig, fs)
# PLOTS:===============================================================================
if b_plots: