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Snorer-Dependent Snore Recognition Using LPC Cepstral Coefficients  

최호선 (대원과학대학 멀티미디어정보관리계열)
장원규 (㈜삼성테크윈 광디지털개발팀)
이경중 (연세대 보건과학대학 의공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.52, no.9, 2003 , pp. 554-559 More about this Journal
Abstract
In this paper the possibility of snorer-dependent snore recognition using cepstral coefficients was suggested. We assumed that snore and speech sounds have some similarities and we used cepstral coefficients which are widely used for speech recognition. Snoring data were acquired from 18 persons including 5 patients diagnosed as snore patient. To evaluate the performance of proposed method, the distance ratio based on LPC cepstral coefficients was selected as an index for snorer-dependent snore recognition. As a result, distance ratio of 3 was selected as optimal value showing the most efficient snorer-dependent snore recognition, which is high accuracy of 95.05％ on average. In conclusion, the proposed method showed the possibilities to be applied in clinical applications for snorer-dependent snore recognition.
Keywords
snorer-dependent snore recognition;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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