Kaldi
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Whisper.cpp | 23,082 |  | 1 | 21 hours ago | 1 | December 12, 2022 | 360 | mit | C | |
| Port of OpenAI's Whisper model in C/C++ | ||||||||||
| Deepspeech | 23,017 |  | 29 | 14 | 5 days ago | 100 | December 19, 2020 | 135 | mpl-2.0 | C++ |
| DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. | ||||||||||
| Leon | 13,444 | 11 days ago | 86 | mit | TypeScript | |||||
| 🧠 Leon is your open-source personal assistant. | ||||||||||
| Kaldi | 12,987 | 3 | a month ago | 3 | April 20, 2022 | 219 | other | Shell | ||
| kaldi-asr/kaldi is the official location of the Kaldi project. | ||||||||||
| Nemo | 7,918 |  | 2 | 8 | a day ago | 69 | August 04, 2023 | 69 | apache-2.0 | Python |
| NeMo: a toolkit for conversational AI | ||||||||||
| Speech_recognition | 7,447 |  | 544 | 247 | a month ago | 54 | December 04, 2022 | 299 | bsd-3-clause | Python |
| Speech recognition module for Python, supporting several engines and APIs, online and offline. | ||||||||||
| Asrt_speechrecognition | 6,906 | 10 days ago | 1 | October 23, 2020 | 99 | gpl-3.0 | Python | |||
| A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 | ||||||||||
| Speechbrain | 6,576 | 21 hours ago | 159 | apache-2.0 | Python | |||||
| A PyTorch-based Speech Toolkit | ||||||||||
| Annyang | 6,310 |  | 123 | 16 | a year ago | 6 | May 07, 2018 | 48 | mit | JavaScript |
| :speech_balloon: Speech recognition for your site | ||||||||||
| Vosk Api | 6,043 |  | 30 | 18 days ago | 37 | December 14, 2022 | 408 | apache-2.0 | Jupyter Notebook | |
| Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node | ||||||||||
Kaldi Speech Recognition Toolkit
To build the toolkit: see ./INSTALL. These instructions are valid for UNIX
systems including various flavors of Linux; Darwin; and Cygwin (has not been
tested on more "exotic" varieties of UNIX). For Windows installation
instructions (excluding Cygwin), see windows/INSTALL.
To run the example system builds, see egs/README.txt
If you encounter problems (and you probably will), please do not hesitate to contact the developers (see below). In addition to specific questions, please let us know if there are specific aspects of the project that you feel could be improved, that you find confusing, etc., and which missing features you most wish it had.
Kaldi information channels
For HOT news about Kaldi see the project site.
- Info about the project, description of techniques, tutorial for C++ coding.
- Doxygen reference of the C++ code.
Kaldi forums and mailing lists:
We have two different lists
- User list kaldi-help
- Developer list kaldi-developers:
To sign up to any of those mailing lists, go to http://kaldi-asr.org/forums.html:
Development pattern for contributors
- Create a personal fork of the main Kaldi repository in GitHub.
- Make your changes in a named branch different from
master, e.g. you create a branchmy-awesome-feature. - Generate a pull request through the Web interface of GitHub.
- As a general rule, please follow Google C++ Style Guide. There are a few exceptions in Kaldi. You can use the Google's cpplint.py to verify that your code is free of basic mistakes.
Platform specific notes
PowerPC 64bits little-endian (ppc64le)
- Kaldi is expected to work out of the box in RHEL >= 7 and Ubuntu >= 16.04 with OpenBLAS, ATLAS, or CUDA.
- CUDA drivers for ppc64le can be found at https://developer.nvidia.com/cuda-downloads.
- An IBM Redbook is available as a guide to install and configure CUDA.
Android
- Kaldi supports cross compiling for Android using Android NDK, clang++ and OpenBLAS.
- See this blog post for details.
Web Assembly
- Kaldi supports cross compiling for Web Assembly for in-browser execution using emscripten and CLAPACK.
- See this post for a step-by-step description of the build process.
