UMDHMM: Hidden Markov Model Toolkit

Last Updated: 12/9/2013 12:00:00 AM
Site: http://www.kanungo.com/software/software.html#umdhmm

The UMDHMM: Hidden Markov Model Toolkit is a free UNIX implementation of hidden Markov models useful for speech recognition from Tapas Kanungo. It includes implementations of the Forward-Backward, Viterbi and Baum-Welch algorithms.

Documentation

Creator(s): Tapas Kanugo

Creator's Site: http://www.kanungo.com/

Creator's Email: anungo@cfar.umd.edu

Repository:

Attributes

Type of analysis: Natural Language Processing Analysis Content Analysis
Type of license: Free
Web Usable: Software you Download and Install
Ease of Use: Moderate
Historic Tool (developed before 2005): Development sustained to present
TaDiRAH Goals: Analysis
TaDiRAH Methods: Content Analysis Other (analysis) Statistical Analysis

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