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http://dx.doi.org/10.7776/ASK.2012.31.3.161

Robust End Point Detection for Robot Speech Recognition Using Double Talk Detection  

Moon, Sung-Kyu (고려대학교 영상정보처리협동과정)
Park, Jin-Soo (고려대학교 전자전기전파공학부)
Ko, Han-Seok (고려대학교 전자전기전파공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.31, no.3, 2012 , pp. 161-169 More about this Journal
Abstract
This paper presents a robust speech end-point detector using double talk detection in echoic conditioned speech recognition robot. The proposed method consists of combining conventional end-point detector result and double talk detector result. We have tested the proposed method in isolated word recognition system under echoic conditioned environment. As a result, the proposed algorithm shows superior performance of 30 % to the available techniques in the points of speech recognition rates.
Keywords
Double talk detector; Speech end-point detector; Speech recognition robot; Acoustic echo cancellation;
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