The application of the additive model in the feature extraction of speech recognition

Author

Xi, Wang Bing ; Fang, Lin

Author_Institution

Zhengzhou, Henan, China

fYear

1998

fDate

1998

Firstpage

753

Abstract

Considering the requirements of recognition rate, computational complexity and storage expenses, an additive model of the feature matrix is presented that is based on the analysis of the function factor on acoustic characteristics and its behavior. On this basis, the feature characteristic algorithm is introduced to estimate the feature characteristic matrix reflecting the essence of speech from observed feature matrices. When the feature characteristic matrix is employed as the final recognition template, experimental results demonstrate the effectiveness of the new method

Keywords

computational complexity; feature extraction; matrix algebra; speech recognition; acoustic characteristics; additive model; computational complexity; feature characteristic algorithm; feature extraction; feature matrix; function factor; recognition rate; speech recognition; storage expenses; Acoustic applications; Character recognition; Computational complexity; Data mining; Feature extraction; Psychology; Random variables; Sampling methods; Speech analysis; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770321

Filename

770321