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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.
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:
- Create a personal fork of the [main Kaldi repository] (https://github.com/kaldi-asr/kaldi) 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] (https://google.github.io/styleguide/cppguide.html). There are a few exceptions in Kaldi. You can use the [Google's cpplint.py] (https://raw.githubusercontent.com/google/styleguide/gh-pages/cpplint/cpplint.py) to verify that your code is free of basic mistakes.
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] (https://developer.nvidia.com/cuda-downloads).
- An [IBM Redbook] (https://www.redbooks.ibm.com/abstracts/redp5169.html) is available as a guide to install and configure CUDA.