Kaldi: Kaldi
Excerpt
Kaldi is a toolkit for speech recognition, intended for use by speech recognition researchers and professionals. Find the code repository at http://github.com/kaldi-asr/kaldi.
Kaldi is a toolkit for speech recognition, intended for use by speech recognition researchers and professionals. Find the code repository at http://github.com/kaldi-asr/kaldi.
- About the Kaldi project
- Other Kaldi-related resources (and how to get help)
- Downloading and installing Kaldi
- Versions of Kaldi
- Software required to install and run Kaldi
- Legal stuff
- Kaldi tutorial
- Kaldi for Dummies tutorial
- Examples included with Kaldi
- Frequently Asked Questions
- Glossary of terms
- Data preparation
- The build process (how Kaldi is compiled)
- The Kaldi coding style
- History of the Kaldi project
- The Kaldi Matrix library
- External matrix libraries
- The CUDA Matrix library
- Kaldi I/O mechanisms
- Kaldi I/O from a command-line perspective.
- Kaldi logging and error-reporting
- Parsing command-line options
- Other Kaldi utilities
- Clustering mechanisms in Kaldi
- HMM topology and transition modeling
- Decision tree internals
- How decision trees are used in Kaldi
- Decoding graph construction in Kaldi
- Decoding-graph creation recipe (test time)
- Decoding-graph creation recipe (training time)
- Support for grammars and graphs with on-the-fly parts.
- Finite State Transducer algorithms
- Decoders used in the Kaldi toolkit
- Lattices in Kaldi
- Acoustic modeling code
- Feature extraction
- Feature and model-space transforms in Kaldi
- Deep Neural Networks in Kaldi
- Online decoding in Kaldi
- Keyword Search in Kaldi
- Parallelization in Kaldi
- Kaldi Tools