DocumentCode
328051
Title
Comparison of parametric representations for hidden Markov models and multilayer perceptron recognizers
Author
Martins, José A. ; Violaro, Fábio
Author_Institution
CPqD-Telebras, Campinas, Brazil
fYear
1998
fDate
9-13 Aug 1998
Firstpage
141
Abstract
This paper presents a comparison among different parametric representations of speech signals employed in speech recognition. In order to make this comparison, isolated word recognizers were built using hidden Markov models (HMM) and multilayer perceptrons (MLP). All the implemented recognizers were speaker-independent and the same database was used for their evaluation. The database consisted of a 50-word vocabulary spoken in Brazilian Portuguese
Keywords
hidden Markov models; multilayer perceptrons; parameter estimation; signal representation; speech recognition; Brazilian Portuguese database; HMM; MLP; hidden Markov models; isolated word recognizers; multilayer perceptron; parametric representations; speaker-independent recognizer; speech recognition; speech signals; Cepstral analysis; Cepstrum; Filter bank; Fourier transforms; Frequency; Hidden Markov models; Linear predictive coding; Multilayer perceptrons; Nonlinear filters; 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.1998.713106
Filename
713106
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