대한의용생체공학회:의공학회지 (Journal of Biomedical Engineering Research)

  • 제28권2호
  • /
  • Pages.271-279
  • /
  • 2007
  • /
  • 1229-0807(pISSN)
  • /
  • 2288-9396(eISSN)
대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
권호 표지
DOI QR코드

DOI QR Code

Neural Spike Train Decoding에 기반한 인공와우 어음처리방식 성능평가

Performance Evaluation of Cochlear Implants Speech Processing Strategy Using Neural Spike Train Decoding

  • 김두희 (연세대학교 보건과학대학 의공학부) ;
  • 김진호 (연세대학교 보건과학대학 의공학부) ;
  • 김경환 (연세대학교 보건과학대학 의공학부)
  • Kim, Doo-Hee (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 : 2007.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

We suggest a novel method for the evaluation of cochlear implant (CI) speech processing strategy based on neural spike train decoding. From formant trajectories of input speech and auditory nerve responses responding to the electrical pulse trains generated from a specific CI speech processing strategy, optimal linear decoding filter was obtained, and used to estimate formant trajectory of incoming speech. Performance of a specific strategy is evaluated by comparing true and estimated formant trajectories. We compared a newly-developed strategy rooted from a closer mimicking of auditory periphery using nonlinear time-varying filter, with a conventional linear-filter-based strategy. It was shown that the formant trajectories could be estimated more exactly in the case of the nonlinear time-varying strategy. The superiority was more prominent when background noise level is high, and the spectral characteristic of the background noise was close to that of speech signals. This confirms the superiority observed from other evaluation methods, such as acoustic simulation and spectral analysis.

키워드

참고문헌

  1. P. Mitchell, 'The prevalence, risk factors and impacts of hearing impairment in an older Australian Community: The Blue Mountains Hearing Study,' XXVI International Congress of Audiology, Melbourne, Australia, 2002
  2. A. Goodsall, N. Condoleon, and R. Cummins, 'Replacing hearing aids,' Analyst Report, Cochlear Ltd., 20 Jun. 2003
  3. M. F. Bear, B. W. Connors, and M.A. Paradiso, Neuroscience:Exploring the brain, 2nd Ed., Lippincott Williams & Wilkins, 2004, pp.357-384
  4. J. T. Rubinstein, 'How cochlear implants encode speech,' Curr. Opin. Otolaryngol. Head Neck Surg., vol. 12, no. 5, pp.444-448, 2004 https://doi.org/10.1097/01.moo.0000134452.24819.c0
  5. P. C. Loizou, 'Introduction to cochlear implants,' Tutorial article on cochlear implants that appeared in the IEEE Signal Processing Magazine, Sept. 1998., pp. 101-130
  6. D. B. Grayden, A. N. Burkitt, O. P.Kenny, J. C. Clarey, A. G. Paolini, and G. M. Clark, 'A cochlear implant speech processing strategy based on an auditory model,' in Proc. of 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, Dec. 2004, pp.491-296
  7. P. J. Blarney, R. C. Dowell, A. M Brown, G. M. Clark, and P. M. Seligman, 'Speech processing studies using an acoustic model of a multiple-channel cochlear implant,' J. Acoust. Soc. Am., vol. 76, pp.104-110, 1984 https://doi.org/10.1121/1.391104
  8. J. T. Rubinstein, C. Turner, 'A novel acoustic simulation of cochlear implant hearing: effects of temporal fine structure,' in Proc. 1st International IEEE EMBS Conference, Neural Engineering, Mar. 2003, pp.142 - 145
  9. K. H. Kim, S. S. Kim, and S. J. Kim, 'Improvement of spike train decoder under spike detection and classification errors using support vector machine,' Med. Biol. Eng. Comput., vol. 44, no. 1-2, pp.124-30, 2006 https://doi.org/10.1007/s11517-005-0009-x
  10. D. K. Warland, P. Reinagel, and M. Meister, 'Decoding visual information from a population of retinal ganglion cells,' J. Neurophysiol., vol. 78, pp.2336-50, 1997 https://doi.org/10.1152/jn.1997.78.5.2336
  11. A. T. Neel, 'Formant detail needed for vowel identification,' J. Acoust. Soc. Am., vol. 5, pp.125-131, 2004
  12. G. E. Peterson, H. L. Barney, 'Control methods used in study of the vowels,' J. Acoust. Soc. Am., vol. 24, pp.175-184, 1952 https://doi.org/10.1121/1.1906875
  13. L. Deng, C. D. Geisler, 'A composite auditory model for processing speech sounds,' J. Acoust. Soc. Am., vol. 82, pp.2001 - 2012, 1987 https://doi.org/10.1121/1.395644
  14. E. N. Brown, R. E. Kass, and P. P. Mitra, 'Multiple neural spike train data analysis: state-of-the-art and future challenges,' Nature neuroscience, vol. 7, no. 5, pp.456-461, 2004 https://doi.org/10.1038/nn1228
  15. B. S. Wilson, C. C. Finley, D. T. Lawson, R. D. Wolford, and M. Zerbi, 'Design and evaluation of a continuous interleaved sampling (CIS) processing strategy for multichannel cochlear implants,' J. Rehabil. Res. Dev., vol. 30, no.1, pp.110-116, 1993
  16. C. J. Sumner, L. P. O'Mard, E. A. Lopez-Poveda, and R. Meddis, 'A nolinear filter-bank model of the guinea-pig cochlear nerve:Rate responses,' J. Acoust. Soc. Am., vol. 113, pp.3264-3274, 2003 https://doi.org/10.1121/1.1568946
  17. B. S. Wilson, C. C Finley, D. T. Lawson, R. D. Wolford, D. K. Eddington, and W. M. Rabinowitz, 'Better speech recognition with cochlear implants,' Nature, vol. 352, pp.236 - 238, 1991 https://doi.org/10.1038/352236a0
  18. L. M. Litvak, B. Delgutte, and D. K. Eddington, 'Improved temporal coding of sinusoids in electric stimulation of the auditory nerve using desynchronizing pulse trains,' J. Acoust. Soc. Am., vol. 14, pp.2079-2098, 2003
  19. L. M. Litvak, B. Delgutte, and D. K. Eddington, 'Auditory nerve fiber responses to electric stimulation: modulated and unmodulated pulse trains,' J. Acoust. Soc. Am., vol. 110, pp.368 - 379, 2001 https://doi.org/10.1121/1.1375140
  20. J. C. Bruce, L. S. Irlicht, M. W. White, S. J. O'leary, S. Dynes, E. Javel, and G. M. Clark, 'A stochastic model of the eletrically stimulated auditory nerve: pulse-train response,' IEEE Trans. Biomed. Eng., vol. 46, no. 6, pp.630-637, 1999 https://doi.org/10.1109/10.764939
  21. J. H. Kim, D. H. Kim, and K. H. Kim, 'A speech processing strategy for auditory prosthesis based on nonlinear filterbank model of biological cochlear,' World congress on Medical Physics and Biomedical Engineering, Seoul, Korea, 2006