Speech and Natural Language Processing

Finite-state toolkit, EM and Bayesian (Gibbs sampling) training for FST and context-free derivation forests/

Fare is a finite state and regular expression libary for the .NET framework written in C#. am is a JavaScript library for working with automata and formal grammars for regular and context-free languages

A toolkit for training finite-state models

Java port of the C++ OpenFst library; originally forked from the CMU Sphinx project

High level finite state programming language built on top of OpenFst.

Spectral and other training algorithms for WFSAs.

n Shortest Path for PDT

"Noam is a JavaScript library for working with automata and formal grammars for regular and context-free languages". Also has pretty cool examples using viz.js <https://github.com/mdaines/viz.js/>_

Nice set of utilities for OpenFst includes implementation of Categorial semirings.openfst-utils.

Toolkit for manipulating word lattice built on top of OpenFst. Includes support for reading and writing HTK compatible lattices.

Python interface to OpenFst

Provides Hadoop training of Kneser-ney language models, written in Java.

Double array language model.

C++ library for modeling with Pitman-Yor processes

Barista is an open-source framework for concurrent speech processing.

Neural network phone duration model on top of the Kaldi speech recognition framework, (Interspeech paper) <https://phon.ioc.ee/dokuwiki/lib/exe/fetch.php?media=peopleicassp2014-durmodel.pdf>_

Juicer is a Weighted Finite State Transducer (WFST) based decoder for Automatic Speech Recognition (ASR).

SailAlign is an open-source software toolkit for robust long speech-text alignment implementing an adaptive, iterative speech recognition and text alignment scheme that allows for the processing of very long (and possibly noisy) audio and is robust to transcription errors. It is mainly written as a perl library but its functionality also depends…

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.

Grammar rules and dictionaries for the phonetic transcription of Russian sentences

CMUdict (the Carnegie Mellon Pronouncing Dictionary) is a free pronouncing dictionary of English.

"Decoder, aligner, and model optimizer for statistical machine translation and other structured prediction models based on (mostly) context-free formalisms"

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek, Hugo Larochelle and Ryan P. Adams Advances in Neural Information Processing Systems, 2012

Comparison of different convolution network implementations.

are some Python wrappers.

Neural network based machine translation toolkit.

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc.

Neural network toolkit for machine translation described in the paper here <https://ufal.mff.cuni.cz/pbml/102/art-baltescu-blunsom-hoang.pdf>_

Tool to convert RNNLMs to WFSTs

"BLLIP Parser is a statistical natural language parser including a generative constituent parser (first-stage) and discriminative maximum entropy reranker (second-stage)."

Set expander for any language described in this paper <http://www.cs.cmu.edu/~wcohen/postscript/icdm-2007.pdf>_

"CloudASR is a software platform and a public ASR webservice."

Really handy tool adding dot languge directly to a LaTex document, useful for tweaking the small colorized WFST figure in papers and presentations.