DocumentCode
328050
Title
A comparison between HMM and hybrid ANN-HMM-based systems for continuous speech recognition
Author
Ynoguti, Carlos Albeno ; Morais, Edmilson Da Silva ; Violaro, Fabio
Author_Institution
Dept. de Comunicacoes, Univ. Estadual de Campinas, Sao Paulo, Brazil
fYear
1998
fDate
9-13 Aug 1998
Firstpage
135
Abstract
The purpose of this paper is to compare the performance of two continuous speech recognition systems, one based on hidden Markov models (HMM) and the other based on hybrid artificial neural networks and hidden Markov models (ANN-HMM). The comparisons are in terms of recognition rate and in terms of computational complexity. Preliminary results points favorably to hybrid systems
Keywords
computational complexity; hidden Markov models; neural nets; speech recognition; artificial neural networks; computational complexity; continuous speech recognition; hidden Markov models; hybrid ANN-HMM; performance; recognition rate; Artificial neural networks; Cepstral analysis; Computational complexity; Computer networks; Databases; Electronic mail; Hidden Markov models; Maximum likelihood estimation; Neural networks; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Symposium, 1998. ITS '98 Proceedings. SBT/IEEE International
Conference_Location
Sao Paulo
Print_ISBN
0-7803-5030-8
Type
conf
DOI
10.1109/ITS.1998.713105
Filename
713105
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