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  • 1
    Kaldi

    Kaldi

    kaldi-asr/kaldi is the official location of the Kaldi project

    ...It provides a powerful framework for building state-of-the-art automatic speech recognition (ASR) systems, with support for deep neural networks, Gaussian mixture models, hidden Markov models, and other advanced techniques. The toolkit is widely used in both academia and industry due to its flexibility, extensibility, and strong community support. Kaldi is designed for researchers who need a highly customizable environment to experiment with new algorithms, as well as for practitioners who want robust, production-ready ASR pipelines. ...
    Downloads: 5 This Week
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  • 2

    High-order HMM in Matlab

    Implementation of duration high-order hidden Markov model in Matlab.

    Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition.
    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: 0 This Week
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  • 4

    High-order HMM in Java

    A duration high-order hidden Markov model (DHO-HMM) in Java.

    This project provides an implementation of duration high-order hidden Markov model (DHO-HMM) in Java. It is compactible with JDK 5 & 6. It was used in the author's research on speech recognition of Mandarin digits. There are some Chinese words in this project and I am afraid that I don't have enough time to translate to English recently.
    Downloads: 0 This Week
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  • 5
    The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.
    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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