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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