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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005543
