.: Click here to download :.
The Hidden Markov Model (HMM) is one of statistical time series
models widely used in various fields. Especially, speech recognition systems
to recognize time series sequences of speech parameters as digit, character,
word, or sentence can achieve success by using several refined algorithms of
the HMM. Furthermore, text-to-speech synthesis systems to generate speech
from input text information has also made substantial progress by using the
excellent framework of the HMM.
We have developed a fast and reliable algorithm for speech recognition based on Hidden Markov Models.
The proposed approach uses frequency-related features robust to most types of noise.
Index Terms: Matlab, source, code, speech, recognition, HMM, hidden, markov, models, model.
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Figure 1. Hidden Markov Models |
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A simple and effective source code for HMM Speech Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Wavelet Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2014.06.07 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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HMM Speech Recognition System - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 120 EUROS (less
than 168 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of HMM Speech Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 2006a. Matlab Wavelet Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
