Design and Evaluation of a Real-Time Speech Recognition System

被引：0
|
作者：
Shruthi, S.
Yashaswi, G.
Shruti, V
Manikandan, J. [1 ]
机构：
[1] PES Univ, Dept ECE, 100 Feet Ring Rd,BSK Stage 3, Bangalore 560085, Karnataka, India
来源：
2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2018年
关键词：
MFCC; RVM; Speech Recognition; SVM;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Real-time speech recognition systems are in huge demand due to the technological developments in the areas of humanoid robots, voice-based assistive systems, natural language processing, autonomous systems and many more. In this paper, design of a real-time speech recognition system using a novel reduced MFCC feature set and Relevance Vector Machine (RVM) classifier is proposed. The computation time required for each stage of the proposed real-time speech recognition system is analyzed and reported. The performance of proposed system is also evaluated by using Support Vector Machine (SVM) classifier. A maximum recognition accuracy of 99% and 98% is obtained on using SVM and RVM respectively for the proposed system.
引用
收藏
页码：425 / 430
页数：6
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