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Converting HTK lattices to bin sequences of parallel hypotheses

Use the great application "kdevelop" to edit and build source code

Flow networks used for feature extraction, feature transformation, and alignment generation in standard setups using the RWTH ASR system.

The Random Forest Language Model is a collection of randomized decision tree language models with proven records of good performance.

The software is distributed only with the book: Speech Recognition: Theory and C++ Implementation, written by Claudio Becchetti and Lucio Prina Ricotti, published by John Wiley & Sons, and contains th

Phonetisaurus: a WFST-based G2P Conversion toolkit

The OpenGrm NGram library is used for making and modifying n-gram language models encoded as weighted finite-state transducers (FSTs). It makes use of functionality in the OpenFst library to create, a

OpenFst is a library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs).

Waffles provides the following command-line applications, each containing several tools for performing machine learning operations:

The MIT Language Modeling (MITLM) toolkit is a set of tools designed for the efficient estimation of statistical n-gram language models involving iterative parameter estimation. It achieves much of

This is a program to learn a word-based language model from a collection of sentences or lattices. It uses non-parametric Bayesian techniques, specifically the Pitman-Yor language model, to find a go

There are three parts in this folder: kyfd、kylm、kytea