DocumentCode :
1613473
Title :
Pattern classification in recognizing Qalqalah Kubra pronuncation using multilayer perceptrons
Author :
Hassan, Hesham Ahmed ; Nasrudin, N.H. ; Khalid, M.N.M. ; Zabidi, Azlee ; Yassin, A.I.
Author_Institution :
Electron. Div., Univ. Selangor, Bestari Jaya, Malaysia
fYear :
2012
Firstpage :
209
Lastpage :
212
Abstract :
Quranic recitations require precise pronunciation in its recitation. Because of this, Tajweed is important as a set of rules that govern how certain verses must be pronounced. One of the many Tajweed rules is called Qalqalah. The voice signals of Qalqalah Kubro (QK) (one of the Qalqalah variations) pronunciation have distinct patterns which can be recognized with pattern classification algorithms such as Multilayer Perceptron (MLP). This study investigates the performance of the MLP in identifying correct pronunciation of QK of a reader. The pronunciation sound waves of QK were first divided into equal length segments. Next, important features were extracted using Mel Frequency Cepstrum Coefficient (MFCC) analysis. After training, the MLP performance was analyzed to discriminate between correct and incorrect pronunciations. Results show that the MLP classifier trained using the MFCC features was able to accurately distinguish between the two cases.
Keywords :
cepstral analysis; feature extraction; learning (artificial intelligence); multilayer perceptrons; pattern classification; speech processing; speech recognition; MFCC analysis; MFCC feature extraction; MLP classifier training; MLP performance analysis; Mel frequency cepstrum coefficient analysis; QK pronunciation sound waves; Qalqalah Kubra pronuncation recognition; Qalqalah Kubro pronunciation; Qalqalah variations; Quranic recitations; Tajweed rules; multilayer perceptrons; pattern classification algorithms; voice signals; Accuracy; Cepstrum; Feature extraction; Filter banks; Mel frequency cepstral coefficient; Speech; Mel Frequency Cepstrum Coefficient; Multilayer Perceptron; Qalqalah Kubro;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-3032-9
Type :
conf
DOI :
10.1109/ISCAIE.2012.6482098
Filename :
6482098
Link To Document :
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