Wenet STT Python

Related tags

Deep Learning wenet_stt_python
Overview

Wenet STT Python

Beta Software

Simple Python library, distributed via binary wheels with few direct dependencies, for easily using WeNet models for speech recognition.

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Requirements:

  • Python 3.7+ x64
  • Platform: Windows/Linux/MacOS
  • Python package requirements: cffi, numpy
  • Wenet Model (must be "runtime" format)
    • Several are available ready-to-go on this project's releases page and below.

Features:

  • Synchronous decoding of single utterance
  • Streaming decoding, using separate thread

Models:

Model Download Size
gigaspeech_20210728_u2pp_conformer 549 MB
gigaspeech_20210811_conformer_bidecoder 540 MB

Usage

from wenet_stt import WenetSTTModel
model = WenetSTTModel(WenetSTTModel.build_config('model_dir'))

import wave
with wave.open('tests/test.wav', 'rb') as wav_file:
    wav_samples = wav_file.readframes(wav_file.getnframes())

assert model.decode(wav_samples).lower() == 'it depends on the context'

Also contains a simple CLI interface for recognizing wav files:

$ python -m wenet_stt decode model test.wav
IT DEPENDS ON THE CONTEXT
$ python -m wenet_stt decode model test.wav test.wav
IT DEPENDS ON THE CONTEXT
IT DEPENDS ON THE CONTEXT
$ python -m wenet_stt -h
usage: python -m wenet_stt [-h] {decode} ...

positional arguments:
  {decode}    sub-command
    decode    decode one or more WAV files

optional arguments:
  -h, --help  show this help message and exit

Installation/Building

Recommended installation via binary wheel from pip (requires a recent version of pip):

python -m pip install wenet_stt

For details on building from source, see the Github Actions build workflow.

Author

License

This project is licensed under the GNU Affero General Public License v3 (AGPL-3.0-or-later). See the LICENSE file for details. If this license is problematic for you, please contact me.

Acknowledgments

  • Contains and uses code from WeNet, licensed under the Apache-2.0 License, and other transitive dependencies (see source).
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Comments
  • library dependency failures

    library dependency failures

    when running decode, i get a library linking issue python -m wenet_stt decode model test.wav

      File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/__main__.py", line 46, in <module>
    main()
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/__main__.py", line 24, in main
    wenet_stt = WenetSTTModel(WenetSTTModel.build_config(args.model_dir))
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/wrapper.py", line 71, in __init__
    super().__init__()
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/wrapper.py", line 35, in __init__
    self.init_ffi()
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/wrapper.py", line 39, in init_ffi
    cls._lib = _ffi.init_once(cls._init_ffi, cls.__name__ + '._init_ffi')
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/cffi/api.py", line 749, in init_once
    result = func()
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/wrapper.py", line 48, in _init_ffi
    return _ffi.dlopen(_library_binary_path)
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/cffi/api.py", line 150, in dlopen
    lib, function_cache = _make_ffi_library(self, name, flags)
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/cffi/api.py", line 832, in _make_ffi_library
    backendlib = _load_backend_lib(backend, libname, flags)
  File "/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/cffi/api.py", line 827, in _load_backend_lib
    raise OSError(msg)
OSError: cannot load library '/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/libwenet_stt_lib.dylib': dlopen(/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/libwenet_stt_lib.dylib, 0x0002): Library not loaded: @rpath/libtorch.dylib
  Referenced from: /Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/libwenet_stt_lib.dylib
  Reason: tried: '/private/var/folders/w_/vt72cbr92797v0q4r91wk8380000gn/T/pip-req-build-tp3um_02/native/wenet/runtime/server/x86/fc_base/openfst-subbuild/openfst-populate-prefix/lib/libtorch.dylib' (no such file), '/private/var/folders/w_/vt72cbr92797v0q4r91wk8380000gn/T/pip-req-build-tp3um_02/native/wenet/runtime/server/x86/fc_base/libtorch-src/lib/libtorch.dylib' (no such file), '/private/var/folders/w_/vt72cbr92797v0q4r91wk8380000gn/T/pip-req-build-tp3um_02/native/wenet/runtime/server/x86/fc_base/openfst-subbuild/openfst-populate-prefix/lib/libtorch.dylib' (no such file), '/private/var/folders/w_/vt72cbr92797v0q4r91wk8380000gn/T/pip-req-build-tp3um_02/native/wenet/runtime/server/x86/fc_base/libtorch-src/lib/libtorch.dylib' (no such file), '/Users/myuser/opt/miniconda3/envs/wenet/lib/libtorch.dylib' (no such file), '/Users/myuser/opt/miniconda3/envs/wenet/bin/../lib/libtorch.dylib' (no such file), '/usr/local/lib/libtorch.dylib' (no such file), '/usr/lib/libtorch.dylib' (no such file).  Additionally, ctypes.util.find_library() did not manage to locate a library called '/Users/myuser/opt/miniconda3/envs/wenet/lib/python3.8/site-packages/wenet_stt/libwenet_stt_lib.dylib'```
    opened by eschmidbauer 0
  • Issues with LM (TLG-rescoring)

    Issues with LM (TLG-rescoring)

    I'm trying to use CTC WFST-search for rescoring with compiled TLG graph using this tutorial: https://wenet-e2e.github.io/wenet/lm.html and passing these parameters to decoder: config = { "model_path": f"wenet/{model_name}/final.zip", "dict_path": f"wenet/{model_name}/words.txt", "rescoring_weight": 1.0, "blank_skip_thresh": 0.98, "beam": 15.0, "lattice_beam": 7.5, "min_active": 10, "max_active": 7000, "ctc_weight": 0.5, "reverse_weight": 0.0, "chunk_size": -1, "fst_path": f"wenet/examples/aishell/s0/data/lang_test/TLG.fst" }

    However I'm getting error: `ERROR: FstImpl::ReadHeader: FST not of type vector, found qq: wenet/examples/aishell/s0/data/lang_test/TLG.fst F1102 22:28:04.138978 26002 wenet_stt_lib.cpp:160] Check failed: fst != nullptr *** Check failure stack trace: *** @ 0x7f81d6cfb38d google::LogMessage::Fail() @ 0x7f81d6cfd604 google::LogMessage::SendToLog() @ 0x7f81d6cfaec0 google::LogMessage::Flush() @ 0x7f81d6cfdd89 google::LogMessageFatal::~LogMessageFatal() @ 0x7f81e83701b5 InitDecodeResourceFromSimpleJson() @ 0x7f81e8380ebc WenetSTTModel::WenetSTTModel() @ 0x7f81e83719bb wenet_stt__construct @ 0x7f82021b7dec ffi_call_unix64 @ 0x7f82021b6f55 ffi_call @ 0x7f82023d9e56 cdata_call @ 0x5da58b _PyObject_FastCallKeywords @ 0x54bc71 (unknown) @ 0x552d2d _PyEval_EvalFrameDefault @ 0x54cb89 _PyEval_EvalCodeWithName @ 0x5dac6e _PyFunction_FastCallDict @ 0x590713 (unknown) @ 0x5da1c9 _PyObject_FastCallKeywords @ 0x552fb7 _PyEval_EvalFrameDefault @ 0x54c522 _PyEval_EvalCodeWithName @ 0x54e933 PyEval_EvalCode @ 0x6305a2 (unknown) @ 0x630657 PyRun_FileExFlags @ 0x6312cf PyRun_SimpleFileExFlags @ 0x654232 (unknown) @ 0x65458e _Py_UnixMain @ 0x7f820422fb97 __libc_start_main @ 0x5e0cca _start @ (nil) (unknown) Aborted

    The same TLG-graph works fine when I'm using the default WeNet decoder. Ubuntu 18.04.

    opened by tonko22 0
Owner
David Zurow
david.zurow at gmail
David Zurow
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