Search Results for "speech hidden markov model mfcc c#"

Showing 6 open source projects for "speech hidden markov model mfcc c#"

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  • 1
    The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
    Downloads: 10 This Week
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  • 2

    TransGeneScan

    TransGeneScan is a gene finding tool for metatranscriptomic sequences

    NOTE: TransGeneScan is migrated to Github (https://github.com/COL-IU/TransGeneScan). TransGeneScan is no longer maintained in SourceForge. Please find the latest version in Github. TransGeneScan is a gene finding tool for Metatranscriptomic sequences. TransGeneScan incorporates strand-specic hidden states, representing coding sequences in sense and anti-sense strands on transcripts in a Hidden Markov Model similar to the one used in FragGeneScan (http://fraggenescan.sourceforge.net...
    Downloads: 0 This Week
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  • 3

    HMM Speech Recognition in Matlab

    A speech recognition system using Matlab/Simulink/Stateflow.

    This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.
    Downloads: 1 This Week
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  • 4

    jaf_MT

    This implements a phrased-based hidden semi-Markov Model for SMT

    This package implements the phrased-based hidden semi-Markov model described: Jesús Andrés-Ferrer, Alfons Juan. A phrase-based hidden semi-Markov approach to machine translation. Procedings of European Association for Machine Translation (EAMT), 2009. pp. 168-175. This project depends on jaf_Utils: http://sourceforge.net/projects/jafutils/ Install it prior installation of jaf_MT.
    Downloads: 0 This Week
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    Securden Privileged Account Manager

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  • 5
    CSharpPOSTagger
    POS Tagger , Part of speech tagger, Hidden Markov Model , written with C#. Natural language Processing .
    Downloads: 0 This Week
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  • 6
    This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.
    Downloads: 0 This Week
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