April 28, 2019

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tramphero/kaldi

tramphero/kaldi

This is now the official location of the Kaldi project.

repo name tramphero/kaldi
repo link https://github.com/tramphero/kaldi
homepage http://kaldi-asr.org
language Shell
size (curr.) 111886 kB
stars (curr.) 658
created 2018-05-21
license Other

Build Status

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.

Documentation of Kaldi:

  • 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

  1. Create a personal fork of the main Kaldi repository in GitHub.
  2. Make your changes in a named branch different from master, e.g. you create a branch my-awesome-feature.
  3. Generate a pull request through the Web interface of GitHub.
  4. 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)

Android

  • Kaldi supports cross compiling for Android using Android NDK, clang++ and OpenBLAS.
  • See this blog post for details.
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