감음신경성 난청의 모델링을 통한 라우드니스 누가현상의 시뮬레이션

Simulation of the Loudness Recruitment using Sensorineural Hearing Impairment Modeling

  • 김동욱 (삼성생명과학연구소 임상의공학연구센터) ;
  • 박영철 (삼성생명과학연구소 임상의공학연구센터) ;
  • 김원기 (삼성생명과학연구소 임상의공학연구센터) ;
  • 도원 (연세대학교 전자공학과) ;
  • 박선준 (연세대학교 전자공학과)
  • Kim, D.W. (Biomedical Engineering Center, Samsung Biomedical Research Institute) ;
  • Park, Y.C. (Biomedical Engineering Center, Samsung Biomedical Research Institute) ;
  • Kim, W.K. (Biomedical Engineering Center, Samsung Biomedical Research Institute) ;
  • Doh, W. (Department of Electronic Engineering, Yonsei University) ;
  • Park, S.J. (Department of Electronic Engineering, Yonsei University)
  • 발행 : 1997.11.28

초록

With the advent of high speed digital signal processing chips, new digital techniques have been introduced to the hearing instrument. This advanced hearing instrument circuitry has led to the need or and the development of new fitting approach. A number of different fitting approaches have been developed over the past few years, yet there has been little agreement on which approach is the "best" or most appropriate to use. However, when we develop not only new hearing aid, but also its fitting method, the intensive subject-based clinical tests are necessarily accompanied. In this paper, we present an objective method to evaluate and predict the performance of hearing aids without the help of such subject-based tests. In the hearing impairment simulation (HIS) algorithm, a sensorineural hearing impairment model is established from auditory test data of the impaired subject being simulated. Also, in the hearing impairment simulation system the abnormal loudness relationships created by recruitment was transposed to the normal dynamic span of hearing. The nonlinear behavior of the loudness recruitment is defined using hearing loss unctions generated from the measurements. The recruitment simulation is validated by an experiment with two impaired listeners, who compared processed speech in the normal ear with unprocessed speech in the impaired ear. To assess the performance, the HIS algorithm was implemented in real-time using a floating-point DSP.

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