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

页码：42 / 49

页数：8

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