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DŽBÁNEK, L., KUIPER, A.
Original Title
An Application for Visualizaton of Parameterized Speech Signals
Type
conference paper
Language
English
Original Abstract
The problem of speech recognition is being investigated by a large amount of specialists for a couple of years now. At present there exist two most used methods for automatic speech recognition. The first one is based on "Hidden Markov Models" and is preferably used for systems with a huge vocabulary. The second method is the so-called "Dynamic Time Warping" which is suitable for smaller systems (small amount of words to be recognized). In this paper a with MatLab developed software package is being presented. This application is able to visualize the eventualities of a possible variant based on digital image processing.
Keywords
An Application for Visualizaton Parameterized Speech Signals digital image processing
Authors
RIV year
2004
Released
12. 7. 2004
Publisher
WSEAS International
Location
Athens/Greece
ISBN
9608052998
Book
Proceedings of the 2004 WSEAS International Multiconference CSCC
Pages from
487-598
Pages count
4