Search Results for "hidden markov java"
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Showing 9 open source projects for "hidden markov java"
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Carnatic Music Guru / JRaaga
Carnatic Music Guru - JRaaga
VISIT THIS PAGE AS MORE FEATURES ARE BEING ADDED. If you have downloaded 2.03 or above - Use Help>Check Updates to download latest version. If that does not update: Download CMGUpdater from here: update/CMGUpdater.jar Copy it to the update/ folder of your JRaaga installation path. Try again Help>Check for updates. If it does not work. Delete existing installation. Download the latest version and try. Carnatic Music Guru is a tutor/player/lesson generator. YOU NEED Java Runtime... -
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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. -
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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. -
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Austrian German Voices for Festival
Austrian voices for the Festival speech synthesis system
Hidden Markov Model based voice models of Austrian German for the Festival speech synthesis system. -
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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. -
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SuperWillow is a Music Generation program. Artists have many influences which they have accumulated over the years by listening to countless pieces of music, this principle is reflected in SuperWillow.
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A small utility written in Java that helps you extract songs from your iPod, by searching inside its hidden folders for the song, artist or album that you want.
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SimpleSpeech is a research about developing automatic speech recognition (ASR) system that using Hidden Markov Models (HMM) method as the core engine. This research is purposed for students or ASR beginners that being interested in ASR.
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This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.
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