Makhraj recognition using speech processing

Author

Wahidah, A.N. ; Suriazalmi, M.S. ; Niza, M.L. ; Rosyati, H. ; Faradila, N. ; Hasan, Aftab ; Rohana, A.K. ; Farizan, Z.N.

Author_Institution

Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia

fYear

2012

fDate

3-5 Dec. 2012

Firstpage

689

Lastpage

693

Abstract

This paper present new application of recitation verification based on correct makhraj. Traditionally, people have learned from the expert person to recite al-Quran correctly with a long duration. In this work, a new way to learn reciting the al-Quran is proposed in order to reduce the duration of learning from the expert. A system using Mel Frequency Cepstrum Coefficient (MFCC) as feature extraction and Mean Square Error (MSE) as a pattern matching technique is considered in order to develop a makhraj recognition system. An experimental setup trying to measure the system performance in terms of accuracy based on False Reject Rate (FRR) and Wrong Recognition (WR). The FRR obtained is 0% and gives 100% of accuracy.

Keywords

feature extraction; mean square error methods; pattern matching; speech recognition; FRR; MFCC; MSE; Mel frequency cepstrum coefficient; WR; correct al-Quran; false reject rate; feature extraction; makhraj recognition system; mean square error; pattern matching technique; recitation verification; speech processing; wrong recognition; Mean Square Error (MSE); Mel Feequency Cepstrum Coefficient (MFCC); Speech Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing and Convergence Technology (ICCCT), 2012 7th International Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4673-0894-6

Type

conf

Filename

6530422