A DFE-based algorithm for feature selection in speech recognition

Author

De la Torre, Ángel ; Peinado, Antonio M. ; Rubio, Antonio J. ; Sánchez, Victoria

Author_Institution

Dept. de Electron. y Tecnologia de Computadores, Granada Univ., Spain

Volume

2

fYear

1997

fDate

21-24 Apr 1997

Firstpage

1519

Abstract

The algorithms for the reduction of the number of features without degrading the performance of pattern recognition systems play an important role in real applications. A new algorithm for feature selection is proposed. This algorithm is based on the discriminative feature extraction (DFE) technique and has been applied to speech recognition. The experimental results show that the recognition systems accept important reductions of the number of features without a degradation of the performance. For the representation used in our experiments, the recognition error-rate is not significantly increased when the number of components in the feature vector is reduced from 42 to 20

Keywords

feature extraction; signal representation; speech processing; speech recognition; DFE based algorithm; discriminative feature extraction; experimental results; feature reduction; feature selection; pattern recognition systems; recognition error rate; signal representation; speech recognition; Cepstral analysis; Cepstrum; Degradation; Feature extraction; Iterative algorithms; Signal design; Signal representations; Speech recognition; System performance; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.596239

Filename

596239