DocumentCode :
339177
Title :
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
Link To Document :
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