期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：3
页码：42-49
出版社：International Journal of Computer Science and Network Security
摘要：The automatic speech recognition (ASR) is a field of research that has been emerged in the early 1950s, and has been used in the literature for convenient and efficient human-machine interaction. For voice command system, it is based on implementation of isolated-word speech recognition and it can include many applications, such as voice-activated devices, robots, access control system, etc. In this paper, such isolated-word speech recognition system has been implemented on Raspberry-Pi 3 (RPi 3) board by combining Wave Atoms Transform (WAT) approach and Frequency-Mel Cepstral Coefficients (MFCC) (WAT-MFCC) with Support Vector Machine (SVM). The experiments have been tested on Arabic words database and the achieved results have proven the reliability of the proposed WAT-MFCC-SVM recognition approach with a rate of 100% and a Real-Time Factor (RTF) of 1.50.
