Wenet STT Python

Related tags

Deep Learningwenet_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.

Donate Donate Donate

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).
You might also like...
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project

Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc hav

Gaurav Pandey 2 Jan 8, 2022
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Snapchat like filter App using opencv python Backend : opencv and python Library

null 2 Jul 19, 2022
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V

null 183 Jan 9, 2023
Python-kafka-reset-consumergroup-offset-example - Python Kafka reset consumergroup offset example

Python Kafka reset consumergroup offset example This is a simple example of how

Willi Carlsen 1 Feb 16, 2022
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my

Yasunori Shimura 7 Oct 31, 2022
A python-image-classification web application project, written in Python and served through the Flask Microframework
A python-image-classification web application project, written in Python and served through the Flask Microframework

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Gerald Maduabuchi 19 Dec 12, 2022
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th

Gerald Maduabuchi 19 Dec 12, 2022
PyArmadillo: an alternative approach to linear algebra in Python

PyArmadillo is a linear algebra library for the Python language, with an emphasis on ease of use.

Terry Zhuo 58 Oct 11, 2022
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Apache MXNet (incubating) for Deep Learning Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to m

The Apache Software Foundation 20.2k Jan 8, 2023
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
GitHub Repository
Rest API Written In Python To Classify NSFW Images.

Rest API Written In Python To Classify NSFW Images.

Wahyusaputra 2 Dec 23, 2021
Complex Answer Generation For Conversational Search Systems.

Complex Answer Generation For Conversational Search Systems. Code for Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex

Hanane Djeddal 0 Dec 06, 2021
[RSS 2021] An End-to-End Differentiable Framework for Contact-Aware Robot Design

DiffHand This repository contains the implementation for the paper An End-to-End Differentiable Framework for Contact-Aware Robot Design (RSS 2021). I

Jie Xu 60 Jan 04, 2023
ICLR 2021, Fair Mixup: Fairness via Interpolation

Fair Mixup: Fairness via Interpolation Training classifiers under fairness constraints such as group fairness, regularizes the disparities of predicti

Ching-Yao Chuang 49 Nov 22, 2022
RNN Predict Street Commercial Vitality

RNN-for-Predicting-Street-Vitality Code and dataset for Predicting the Vitality of Stores along the Street based on Business Type Sequence via Recurre

Zidong LIU 1 Dec 15, 2021
Deep Probabilistic Programming Course @ DIKU

Deep Probabilistic Programming Course @ DIKU

52 May 14, 2022
[AAAI22] Reliable Propagation-Correction Modulation for Video Object Segmentation

Reliable Propagation-Correction Modulation for Video Object Segmentation (AAAI22) Preview version paper of this work is available at: https://arxiv.or

Xiaohao Xu 70 Dec 04, 2022
Use Python, OpenCV, and MediaPipe to control a keyboard with facial gestures

CheekyKeys A Face-Computer Interface CheekyKeys lets you control your keyboard using your face. View a fuller demo and more background on the project

69 Nov 09, 2022
Implementation of the HMAX model of vision in PyTorch

PyTorch implementation of HMAX PyTorch implementation of the HMAX model that closely follows that of the MATLAB implementation of The Laboratory for C

Marijn van Vliet 52 Oct 13, 2022
Reinforcement Learning for Automated Trading

Reinforcement Learning for Automated Trading This thesis has been realized for the obtention of the Master's in Mathematical Engineering at the Polite

Pierpaolo Necchi 80 Jun 19, 2022
A Pytree Module system for Deep Learning in JAX

Treex A Pytree-based Module system for Deep Learning in JAX Intuitive: Modules are simple Python objects that respect Object-Oriented semantics and sh

Cristian Garcia 216 Dec 20, 2022
Tello Drone Trajectory Tracking

With this library you can track the trajectory of your tello drone or swarm of drones in real time.

Kamran Asgarov 2 Oct 12, 2022
(AAAI 2021) Progressive One-shot Human Parsing

End-to-end One-shot Human Parsing This is the official repository for our two papers: Progressive One-shot Human Parsing (AAAI 2021) End-to-end One-sh

54 Dec 30, 2022
《A-CNN: Annularly Convolutional Neural Networks on Point Clouds》(2019)

A-CNN: Annularly Convolutional Neural Networks on Point Clouds Created by Artem Komarichev, Zichun Zhong, Jing Hua from Department of Computer Science

Artёm Komarichev 44 Feb 24, 2022
Camera-caps - Examine the camera capabilities for V4l2 cameras

camera-caps This is a graphical user interface over the v4l2-ctl command line to

Jetsonhacks 25 Dec 26, 2022
CLOOB training (JAX) and inference (JAX and PyTorch)

cloob-training Pretrained models There are two pretrained CLOOB models in this repo at the moment, a 16 epoch and a 32 epoch ViT-B/16 checkpoint train

Katherine Crowson 64 Nov 27, 2022
Clustering with variational Bayes and population Monte Carlo

pypmc pypmc is a python package focusing on adaptive importance sampling. It can be used for integration and sampling from a user-defined target densi

45 Feb 06, 2022
PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021

PatchGame: Learning to Signal Mid-level Patches in Referential Games This repository is the official implementation of the paper - "PatchGame: Learnin

Kamal Gupta 22 Mar 16, 2022
MakeItTalk: Speaker-Aware Talking-Head Animation

MakeItTalk: Speaker-Aware Talking-Head Animation This is the code repository implementing the paper: MakeItTalk: Speaker-Aware Talking-Head Animation

Adobe Research 285 Jan 08, 2023
The 2nd Version Of Slothybot

SlothyBot Go to this website: "https://bitly.com/SlothyBot" The 2nd Version Of Slothybot. The Bot Has Many Features, Such As: Moderation Commands; Kic

Slothy 0 Jun 01, 2022