fw-ai/kaldi

fw-ai/kaldi

Description: kaldi-asr/kaldi is the official location of the Kaldi project.

Language: Shell

License: NOASSERTION

Stars: 0

Forks: 0

Open issues: 0

Created: 2024-10-07T01:08:21Z

Pushed: 2024-10-07T17:48:11Z

Default branch: master

Fork: yes

Parent repository: kaldi-asr/kaldi

Archived: no

README:  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)

• 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.