Multilayered network for LPC based speech recognition

Author

Patil, Pramod B.

Author_Institution

Dept. of Electron. & Telecommun., Coll. of Eng., Badnera, India

Volume

44

Issue

2

fYear

1998

fDate

5/1/1998 12:00:00 AM

Firstpage

435

Lastpage

438

Abstract

This paper presents an efficient artificial neural network based linear predictive coding. Speech recognition is fundamentally a pattern classification task. The objective is to input the speech pattern, and then to classify it as a sequence of patterns. The linear predictive coefficients of the slowly varying speech signals are stored. A feedforward network is determined by the linear predictive coefficients. A three layered feedforward network was used with backpropagation as the training algorithm. The network and learning techniques are proven for their correctness and applied to the problem of speech recognition. The suggested novel scheme yields good results in finite accuracy and recognition performance

Keywords

backpropagation; feedforward neural nets; linear predictive coding; pattern classification; speech coding; speech recognition; LPC based speech recognition; artificial neural network; backpropagation; feature extraction; feedforward network; learning techniques; linear predictive coding; linear predictive coefficients; multilayered network; pattern classification; recognition performance; slowly varying speech signals; speech pattern; training algorithm; Artificial neural networks; Finite impulse response filter; Frequency; Linear predictive coding; Low pass filters; Pattern classification; Signal analysis; Speech analysis; Speech coding; Speech recognition;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.681960

Filename

681960