Performance Analysis of Spoken Arabic Digits Recognition Techniques  

作　　者：Ali Ganoun Ibrahim Almerhag 

机构地区：[1]the Faculty of Engineering, University of Triploi [2]the Faculty of Information Technology, University of Triploi

出　　处：《Journal of Electronic Science and Technology》2012年第2期153-157,共5页电子科技学刊（英文版）

摘　　要：A performance evaluation of sound recognition techniques in recognizing some spoken Arabic words, namely digits from zero to nine, is proposed. One of the main characteristics of aU Arabic digits is polysyllabic words except for zero. The performance analysis is based on different features of phonetic isolated Arabic digits. The main aim of this paper is to compare, analyze, and discuss the outcomes of spoken Arabic digits recognition systems based on three recognition features： the Yule-Walker spectrum features, the Walsh spectrum features, and the Mel frequency Cepstral coefficients （MFCC） features. The MFCC based recognition system achieves the best average correct recognition. On the other hand, the Yule-Walker based recognition system achieves the worst average correct recognition.A performance evaluation of sound recognition techniques in recognizing some spoken Arabic words, namely digits from zero to nine, is proposed. One of the main characteristics of aU Arabic digits is polysyllabic words except for zero. The performance analysis is based on different features of phonetic isolated Arabic digits. The main aim of this paper is to compare, analyze, and discuss the outcomes of spoken Arabic digits recognition systems based on three recognition features： the Yule-Walker spectrum features, the Walsh spectrum features, and the Mel frequency Cepstral coefficients （MFCC） features. The MFCC based recognition system achieves the best average correct recognition. On the other hand, the Yule-Walker based recognition system achieves the worst average correct recognition.

关 键 词：Arabic digits spectrum analysis speech recognition. 

分 类 号：TN912.34[电子电信—通信与信息系统] TP391.4[电子电信—信息与通信工程]