DocumentCode :
3490228
Title :
Malay syllable recognition based on multilayer perceptron and dynamic time warping
Author :
Ting, H.N. ; Jasmy, Y. ; Hussain, S. S Sheikh ; Cheah, E.L.
Author_Institution :
Fac. of Electr. Eng., Universiti Teknologi Malaysia, Skudai, Malaysia
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
743
Abstract :
Attempts at creating and using the first database for Malay syllables are presented. The speech vocabulary consists of 16 Malay syllables which are initialized with plosives and followed by succeeding vowels. The paper investigates the use of multilayer perceptron (MLP) and dynamic time warping (DTW) in recognizing these Malay syllable sounds that are quite similar to each other. From the experimental results, DTW and MLP achieved 77.09% and 90.82% respectively in overall average recognition rate
Keywords :
multilayer perceptrons; pattern matching; speech recognition; DTW; MLP; Malay syllable database; dynamic time warping; multilayer perceptron; plosives; speech recognition; speech vocabulary; succeeding vowels; Cepstral analysis; Data mining; Databases; Multilayer perceptrons; Natural languages; Signal processing; Speech recognition; Testing; Training data; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
Type :
conf
DOI :
10.1109/ISSPA.2001.950257
Filename :
950257
Link To Document :
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