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Searching for the best path that matches two time-series signals is the
main task for many researchers, because of its importance in these applications.
Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in
speech recognition systems. DTW is a cost minimisation matching
technique, in which a test signal is stretched or compressed according to a
reference template.
Although there are other advanced techniques in speech
recognition such as the hidden Markov modelling (HMM) and artificial neural network
(ANN) techniques, the DTW is widely used in the small-scale
embedded-speech recognition systems such as those embedded in cell phones.
The reason for this is owing to the simplicity of the hardware implementation of
the DTW engine, which makes it suitable for many mobile devices. Additionally,
the training procedure in DTW is very simple and fast, as compared with
the HMM and ANN rivals.
Index Terms: Matlab, speech recognition, speech verification, speech matching, Dynamic Time-Warping, dtw, features extraction.
Figure 1. Dynamic Time-Warping on two 1D signals |
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A simple and effective source code for Speech Identification based on Dynamic Time-Warping. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Signal Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2006.10.01 |
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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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Speech Recognition Based on DTW - Release 1.0 - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 46 EUROS (less
than 64,4 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 Speech Recognition Based on DTW. Alternatively, you can bestow using our banking coordinates:
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This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version. This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
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 14 SP1. Matlab Signal Processing 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.