DocumentCode
1647111
Title
Speaker-independent phonation recognition for Malay plosives using neural networks
Author
Ting, Hua Nong ; Yunus, Jasmy ; Salleh, S. Hussain
Author_Institution
Fac. of Electr. Eng., Univ. Teknologi Malaysia, Johor, Malaysia
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
619
Lastpage
623
Abstract
The paper investigates the use of neural networks in recognizing the phonation of the speech sounds. The proposed method classifies the Malay plosive sounds of adults and children based on phonation in a speaker-independent manner. The proposed method achieves encouraging result with an average accuracy of 98%
Keywords
feature extraction; learning (artificial intelligence); multilayer perceptrons; pattern classification; speech recognition; Malay; feature extraction; learning rate; multilayer perceptron; neural networks; nonlinear input-output mapping; pattern classification; phonetic context; plosive recognition; speech recognition; Feature extraction; Hidden Markov models; Linear predictive coding; Loudspeakers; Neural networks; Pattern recognition; Spatial databases; Speech coding; Speech recognition; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005543
Filename
1005543
Link To Document