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transcribe.py: Segmentation fault when loading Mozilla Deepspeech's language model

See original GitHub issue

python3 transcribe.py --model-path models/librispeech_pretrained.pth --audio-path my-recording.wav --decoder beam --lm-path ../DeepSpeech/data/lm/lm.binary

Segmentation fault (core dumped)
(gdb) info threads
  Id   Target Id         Frame 
* 1    Thread 0x7fe921e04700 (LWP 12660) fst::ArcIterator<fst::VectorFst<fst::ArcTpl<fst::TropicalWeightTpl<float> >, fst::VectorState<fst::ArcTpl<fst::TropicalWeightTpl<float> >, std::allocator<fst::ArcTpl<fst::TropicalWeightTpl<float> > > > > >::Seek (this=<optimized out>, a=0) at /tmp/pip-8jivklgg-build/third_party/openfst-1.6.7/src/include/fst/vector-fst.h:619
  2    Thread 0x7fe918e02700 (LWP 12657) 0x00007fe8deb47b40 in ?? () from /usr/local/lib/python3.5/dist-packages/torch/lib/libgomp-c0d7b783.so.1
  3    Thread 0x7fe916601700 (LWP 12656) 0x00007fe8deb47b40 in ?? () from /usr/local/lib/python3.5/dist-packages/torch/lib/libgomp-c0d7b783.so.1
  4    Thread 0x7fe919603700 (LWP 12658) 0x00007fe8deb47b51 in ?? () from /usr/local/lib/python3.5/dist-packages/torch/lib/libgomp-c0d7b783.so.1
  5    Thread 0x7fe927eb3700 (LWP 12610) syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38

Mozilla Deepspeech also uses KenLM language models. What am I doing wrong? If the file formats are incompatible, the failure could be a bit more graceful.

Let me know if you need further info.

Are there any prepared language models that I could try out?

Issue Analytics

  • State:closed
  • Created 5 years ago
  • Comments:11 (3 by maintainers)

github_iconTop GitHub Comments

1reaction
adryyandccommented, Jun 18, 2018

You can download pretrained ones from: http://www.openslr.org/11/

Or more general models: http://www.keithv.com/software/giga/

0reactions
stale[bot]commented, Mar 28, 2020

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

Read more comments on GitHub >

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