Real-Time Implementation of Isolated-Word Speech Recognition System on Raspberry Pi 3 Using WAT-MFCC

被引：0
|
作者：
Walid, Mohamed [1 ]
Bousselmi, Souha [1 ]
Dabbabi, Karim [1 ]
Cherif, Adnen [1 ]
机构：
[1] Turns El Manar Univ, Fac Sci Tunis, El Manar Tunis 2092, Tunisia
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2019年 / 19卷 / 03期
关键词：
Isolated-word speech recognition; Real-Time implementation; WAT; MFCC; WAT-MFCC; SVM; Raspberry PI 3 board;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：42 / 49
页数：8
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