Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
Features
Code-level integration with Finite State Transducers (FSTs)
We compile against the OpenFst toolkit (using it as a library).
Extensive linear algebra support
We include a matrix library that wraps standard BLAS and LAPACK routines.
Extensible design
As far as possible, we provide our algorithms in the most generic form possible. For instance, our decoders are templated on an object that provides a score indexed by a (frame, fst-input-symbol) tuple. This means the decoder could work from any suitable source of scores, such as a neural net.
Open license
The code is licensed under Apache 2.0, which is one of the least restrictive licenses available.
Complete recipes
Our goal is to make available complete recipes for building speech recognition systems, that work from widely available databases such as those provided by the Linguistic Data Consortium (LDC).
