def lpc_analysis_at_train(raw_data_one_batch,
order): # already windowized by 512
raw_data_one_batch = raw_data_one_batch[:, :, 0]
how_many = raw_data_one_batch.shape[0] # which is the batch size
all_lpc_coeff_segments = np.empty((how_many, order))
for i in range(how_many):
preprocessed_frame = empha_filter(
highpass_filter(raw_data_one_batch[i, :]))
preprocessed_frame_listed = list(preprocessed_frame)
# preprocessed_frame_listed = list(raw_data_one_batch[i, :])
lpc_analysis = lpc(preprocessed_frame_listed, order)
all_lpc_coeff_segments[i, :] = poly2lsf(
ZFilter(np.array(lpc_analysis.numlist).tolist()).numlist)
return all_lpc_coeff_segments # after poly2lsf, the "1" is removed
def lpc_analysis_at_test(raw_data, order):
# all_lpc_res_segments = np.empty((how_many, 512))
#
# print(raw_data.shape, 'raw_data')
raw_data = raw_data[:, :].flatten()
ret = np.empty((len(
range(0,
len(raw_data) - frame_length * 2,
frame_length * 2 - frame_length)), frame_length * 2))
ind = 0
for i in range(0,
len(raw_data) - frame_length * 2,
frame_length * 2 - frame_length):
ret[ind, :] = raw_data[i:i + frame_length * 2] * 1
ind += 1
raw_data = ret
# print(raw_data.shape, 'raw_data')
how_many = raw_data.shape[0]
all_lpc_coeff_segments = np.empty((how_many, order))
for i in range(how_many):
# no window
# preprocessed_frame = (raw_data[i,:])
# preprocessed_frame_listed = list(preprocessed_frame)
# lpc_analysis = lpc(preprocessed_frame_listed, order)
# all_lpc_coeff_segments[i,:] = poly2lsf(ZFilter(np.array(lpc_analysis.numlist).tolist()).numlist)
# with window
# preprocessed_frame = ((raw_data[i, :]))*np.hanning(512*2)
preprocessed_frame = ((raw_data[i, :])) * np.append(
np.append(np.hanning(256 * 2)[:256], np.array([1] * 512)),
np.hanning(256 * 2)[256:]) # np.hanning(512*2)
preprocessed_frame_listed = list(preprocessed_frame)
lpc_analysis = lpc(preprocessed_frame_listed, order)
all_lpc_coeff_segments[i, :] = poly2lsf(
ZFilter(np.array(lpc_analysis.numlist).tolist()).numlist)
return all_lpc_coeff_segments