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Proceedings Paper

Automatic speech recognition systems
Author(s): Alexandru Catariov
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Paper Abstract

In this paper is presented analyses in automatic speech recognition (ASR) to find out what is the state of the arts in this direction and, eventually, it can be a starting point for the implementation of a real ASR system. In the second chapter of this work, it is revealed the structure of a typical speech recognition system and the used methods for each step of the recognition process, and in special, there are described two kinds of speech recognition algorithms, namely, Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). The work continues with some results of ASR, in order to make conclusions about what is needed to be improved and what is more eligible to implement an ASR system.

Paper Details

Date Published: 21 February 2005
PDF: 11 pages
Proc. SPIE 5822, Information Technologies 2004, (21 February 2005); doi: 10.1117/12.612047
Show Author Affiliations
Alexandru Catariov, Compudava Ltd. (Moldova)


Published in SPIE Proceedings Vol. 5822:
Information Technologies 2004
Andrei M. Andriesh; Veacheslav L. Perju, Editor(s)

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