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/workspace/PaddleSpeech/examples/librispeech/asr0 {develop *} bash
run.sh --stage 0 --stop_stage 0
checkpoint name deepspeech2
Skip downloading and unpacking. Data already exists in /workspace/PaddleSpeech/dataset/librispeech/test-clean.
Creating manifest data/manifest.test-clean ...
Skip downloading and unpacking. Data already exists in /workspace/PaddleSpeech/dataset/librispeech/dev-clean.
Creating manifest data/manifest.dev-clean ...
Skip downloading and unpacking. Data already exists in /workspace/PaddleSpeech/dataset/librispeech/train-clean-100.
Creating manifest data/manifest.train-clean-100 ...
Skip downloading and unpacking. Data already exists in /workspace/PaddleSpeech/dataset/librispeech/test-other.
Creating manifest data/manifest.test-other ...
Skip downloading and unpacking. Data already exists in /workspace/PaddleSpeech/dataset/librispeech/dev-other.
Creating manifest data/manifest.dev-other ...
Skip downloading and unpacking. Data already exists in /workspace/PaddleSpeech/dataset/librispeech/train-clean-360.
Creating manifest data/manifest.train-clean-360 ...
Skip downloading and unpacking. Data already exists in /workspace/PaddleSpeech/dataset/librispeech/train-other-500.
Creating manifest data/manifest.train-other-500 ...
Creating manifest data/manifest.train-other-500 ...
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/usr/lib/python3.10/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/usr/lib/python3.10/multiprocessing/pool.py", line 51, in starmapstar
return list(itertools.starmap(args[0], args[1]))
File "/workspace/PaddleSpeech/dataset/librispeech/librispeech.py", line 146, in prepare_dataset
create_manifest(target_dir, manifest_path)
File "/workspace/PaddleSpeech/dataset/librispeech/librispeech.py", line 98, in create_manifest
audio_data, samplerate = soundfile.read(audio_filepath)
File "/usr/local/lib/python3.10/dist-packages/soundfile.py", line 285, in read
with SoundFile(file, 'r', samplerate, channels,
File "/usr/local/lib/python3.10/dist-packages/soundfile.py", line 658, in __init__
self._file = self._open(file, mode_int, closefd)
File "/usr/local/lib/python3.10/dist-packages/soundfile.py", line 1216, in _open
raise LibsndfileError(err, prefix="Error opening {0!r}: ".format(self.name))
soundfile.LibsndfileError: Error opening '/workspace/PaddleSpeech/dataset/librispeech/train-other-500/LibriSpeech/train-other-500/5480/41791/5480-41791-0000.flac': System error.
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/workspace/PaddleSpeech/dataset/librispeech/librispeech.py", line 186, in <module>
main()
File "/workspace/PaddleSpeech/dataset/librispeech/librispeech.py", line 180, in main
pool.starmap(prepare_dataset, tasks)
File "/usr/lib/python3.10/multiprocessing/pool.py", line 375, in starmap
return self._map_async(func, iterable, starmapstar, chunksize).get()
File "/usr/lib/python3.10/multiprocessing/pool.py", line 774, in get
raise self._value
soundfile.LibsndfileError: Error opening '/workspace/PaddleSpeech/dataset/librispeech/train-other-500/LibriSpeech/train-other-500/5480/41791/5480-41791-0000.flac': System error.
Prepare LibriSpeech failed. Terminated.
λ tjdm-isa-ai-p800node13 /workspace/PaddleSpeech/examples/librisp
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If you've found a bug then please create an issue with the following information:
Describe the bug
环境1 PaddleSpeech-dev分支
基于PaddleSpeech的develop分支,搭建paddle 环境,py3.10 + paddle-dev分支whl包
PaddleSpeech/examples/librispeech/asr0/下指导执行数据处理操作
最终的train-500会失败报错
环境2 PaddleSpeech-tag v2.1.1分支
作为对比,在paddlespeech的tag v2.1.1进行了同样的尝试,当然只能使用paddle的老版本。没有遇到这个问题,数据处理成功且能正常训练deepspeech模型。
将此处的librispeech数据处理的manifest数据导出给 环境1。启动训练会报错。
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