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http://dx.doi.org/10.9718/JBER.2008.29.1.025

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

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)
Publication Information
Journal of Biomedical Engineering Research / v.29, no.1, 2008 , pp. 25-31 More about this Journal
Abstract
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.
Keywords
cochlear Implant; speech processor; auditory nerve; adaptation effect; speech onset;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 B. S. Wilson, C. C. Finley, D. T. Lawson, R. D. Wolford, D. K. Eddington, W. M. Rabinowitz, 'Better speech recognition with cochlear implants,' Nature., vol. 352, no. 6332, pp. 236-238, 1991   DOI   ScienceOn
2 D. H. Kim, J. H. Kim, K. H. Kim, 'Performance evaluation of cochlear implants speech processing strategy using neural spike train decoding,' J. of Biomed. Eng. Res., vol. 28, no.2, pp. 271-279, 2007   과학기술학회마을
3 L. Yang, Q. Fu, 'Spectral subtraction-based speech enhancement for cochlear implant patients in background noise,' J. Acoust. Soc. Am., vol. 117, no. 3, pp. 1001-1004, 2005   DOI   ScienceOn
4 L. A. Westerman, R. L. Smith, 'Rapid and short-term adaptation in auditory nerve responses,' Hear. Res., vol. 15, no. 3, pp. 249-260, 1984   DOI   ScienceOn
5 G.. S. Donaldson, H. A. Kreft, 'Effects of vowel context on the recognition of initial and medial consonants by cochlear implant users,' Ear Hear., vol. 27, no. 6, pp. 658-677, 2006   DOI   ScienceOn
6 J. Tchorz, B. Kollmeier, 'A model of auditory perception as front end for automatic speech recognition,' J. Acoust. Soc. Am., vol. 106, no. 4, pp. 2040-2050, 1999   DOI
7 A. E. Vandali, 'Emphasis of short-duration acoustic speech cues for cochlear implant users,' J. Acoust. Soc. Am., vol. 109, no. 5, pp. 2049-2061, 2001   DOI   ScienceOn
8 E. Kennedy, H. Levitt, A. C. Neuman, M weiss, 'Consonantvowel intensityratios for maximizing consonant recognition by hearing-impaired listeners,' J. Acoust. Soc. Am., vol. 103, no. 2, pp. 1098-1114, 1998   DOI   ScienceOn
9 P. C. Loizou, M. Dorman, Z. Tu, 'On the number of channels needed to understand speech,' J. Acoust. Soc. Am., vol. 106, no. 4, pp. 2097-2103, 1999   DOI
10 J. H. Kim, K. H. Kim, 'A Simulation Study on Improvements of Speech Processing Strategy of Cochlear Implants Using Adaptation Effect of Inner Hair Cell and Auditory Nerve Synapse,' J. of Biomed. Eng. Res., vol. 28, no. 2, pp. 205-211, 2007   과학기술학회마을
11 X. Zhang, L. H. Carney, 'Analysis of models for the synapse between the inner hair cell and the auditory nerve,' J. Acoust. Soc. Am., vol. 118, no. 3, pp. 1540-1553, 2005   DOI
12 B. S. Wilson, R. Schatzer, E. A. Lopez-Poveda, X. Sun, D T. Lawson, R. D. Wolford, 'Two new directions in speech processor design for cochlear implants, ' Ear Hear., vol. 26, no. 4, pp. 73S-81S, 2005   DOI   ScienceOn
13 J. H. Kim, K. H. Kim, 'A novel speech processing strategy for cochlear implants based on nonlinear model of auditory periphery,' in proc. 34th KOSOMBE, Wonju, Korea, Nov. 2006, pp. 152-155