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A Natural Human-Machine Interaction via an Efficient Speech Recognition System

Shachi Sharma, Krishna Kumar Sharma, Himanshu Arora Published in Pattern Recognition

International Journal of Applied Information Systems
Year of Publication: 2012
© 2012 by IJAIS Journal
10.5120/ijais12-450797
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  1. Shachi Sharma, Krishna Kumar Sharma and Himanshu Arora. Article: A Natural Human-Machine Interaction via an Efficient Speech Recognition System. International Journal of Applied Information Systems 4(9):31-37, December 2012. BibTeX

    @article{key:article,
    	author = "Shachi Sharma and Krishna Kumar Sharma and Himanshu Arora",
    	title = "Article: A Natural Human-Machine Interaction via an Efficient Speech Recognition System",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 9,
    	pages = "31-37",
    	month = "December",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

This paper is motivated from non-technical users' problems in using technical interfaces of computer. In village areas, farmers face problems in using conventional ways to use computers, so in order to design a natural interaction way of human with computer, an efficient speech recognition system should be developed. For this we designed a system application. User has to speak commands and the system performs according to commands. This is all tested in the mobile environment and with varying users. And from the results, conclusion has been derived that the hybrid feature set outperformed in the noisy environment as compared to individual feature set with their dynamic features. And the result was approximately 5% higher. When DHMM is implemented in the system, results increased.

Reference

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Keywords

Speech Recognition system, DHMM, hybrid feature set