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인공와우 어음처리방식을 위한 적응효과 알고리즘의 음성개시점 검출 특성 비교

Comparison of Speech Onset Detection Characteristics of Adaptation Algorithms for Cochlear Implant Speech Processor

  • 최성진 (연세대학교 보건과학대학 의공학과) ;
  • 김진호 (연세대학교 보건과학대학 의공학과) ;
  • 김경환 (연세대학교 보건과학대학 의공학과)
  • Choi, Sung-Jin (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Kim, Jin-Ho (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Kim, Kyung-Hwan (Department of Biomedical Engineering, College of Health Science, Yonsei University)
  • 발행 : 2008.02.29

초록

It is well known that temporal information, i.e speech onset, about input speech can be represented to the response nerve signal of auditory nerve better depending on the adaptation effect occurred in the auditory nerve synapse. In addition, the performance of a speech processor of cochlear implant can be improved by the adaptation effect. In this paper, we observed the emphasis characteristic of speech onset in the recently proposed adaptation algorithm, analyzed the characteristic of performance change according to the variation of parameters and compared with transient emphasis spectral maxima (TESM) is the previous typical strategy. When observing false peaks which are generated everywhere except speech onset, in the case of the proposed model, the false peak were generated much less than in the case of the TESM and it is more distinguishable under noise.

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참고문헌

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