在 python 中训练嘈杂的语音合成器多处理过程中的零除法错误
Zero division error during training a noisy speech synthesizer multiprocessing in python
我在这里尝试使用清晰且嘈杂的音频文件来训练数据集
但在这里,我得到这个 error.Please 调查并帮助我。
https://github.com/breizhn/DTLN.git 所有细节都可用 here.I 我正在尝试 运行 noiyspeech 合成器多处理文件。
代码:
global clean_counter, noise_counter
if is_clean:
source_files = params['cleanfilenames']
idx_counter = clean_counter
else:
source_files = params['noisefilenames']
idx_counter = noise_counter
# initialize silence
silence = np.zeros(int(fs_output*silence_length))
# iterate through multiple clips until we have a long enough signal
tries_left = MAXTRIES
while remaining_length > 0 and tries_left > 0:
# read next audio file and resample if necessary
with idx_counter.get_lock():
idx_counter.value += 1
idx = idx_counter.value % np.size(source_files)
错误:
Traceback (most recent call last):
File "/home/drstrange/anaconda3/envs/train_env/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/home/drstrange/anaconda3/envs/train_env/lib/python3.7/multiprocessing/pool.py", line 47, in starmapstar
return list(itertools.starmap(args[0], args[1]))
File "noisyspeech_synthesizer_multiprocessing.py", line 156, in main_gen
gen_audio(True, params, filenum)
File "noisyspeech_synthesizer_multiprocessing.py", line 124, in gen_audio
build_audio(is_clean, params, filenum, audio_samples_length)
File "noisyspeech_synthesizer_multiprocessing.py", line 73, in build_audio
idx = idx_counter.value % np.size(source_files)
ZeroDivisionError: integer division or modulo by zero
数据集有问题,最大文件数为 corrupted.So 这就是为什么我再次获得此 error.Downloaded 数据集(这次是正确的)现在代码工作正常。
我在这里尝试使用清晰且嘈杂的音频文件来训练数据集 但在这里,我得到这个 error.Please 调查并帮助我。 https://github.com/breizhn/DTLN.git 所有细节都可用 here.I 我正在尝试 运行 noiyspeech 合成器多处理文件。
代码:
global clean_counter, noise_counter
if is_clean:
source_files = params['cleanfilenames']
idx_counter = clean_counter
else:
source_files = params['noisefilenames']
idx_counter = noise_counter
# initialize silence
silence = np.zeros(int(fs_output*silence_length))
# iterate through multiple clips until we have a long enough signal
tries_left = MAXTRIES
while remaining_length > 0 and tries_left > 0:
# read next audio file and resample if necessary
with idx_counter.get_lock():
idx_counter.value += 1
idx = idx_counter.value % np.size(source_files)
错误:
Traceback (most recent call last):
File "/home/drstrange/anaconda3/envs/train_env/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/home/drstrange/anaconda3/envs/train_env/lib/python3.7/multiprocessing/pool.py", line 47, in starmapstar
return list(itertools.starmap(args[0], args[1]))
File "noisyspeech_synthesizer_multiprocessing.py", line 156, in main_gen
gen_audio(True, params, filenum)
File "noisyspeech_synthesizer_multiprocessing.py", line 124, in gen_audio
build_audio(is_clean, params, filenum, audio_samples_length)
File "noisyspeech_synthesizer_multiprocessing.py", line 73, in build_audio
idx = idx_counter.value % np.size(source_files)
ZeroDivisionError: integer division or modulo by zero
数据集有问题,最大文件数为 corrupted.So 这就是为什么我再次获得此 error.Downloaded 数据集(这次是正确的)现在代码工作正常。