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Refining a model of hearing impairment using speech psychophysics
1. Brown, G. J. , Ferry, R. T. , and Meddis, R. (2010). “ A computer model of auditory efferent suppression: Implications for the recognition of speech in noise,” J. Acoust. Soc. Am. 127, 943–954.
3. Ghitza, O. (1993a). “ Adequacy of auditory models to predict human internal representation of speech sounds,” J. Acoust. Soc. Am. 93, 2160–2171.
5. Hanson, H. M. , and Stevens, N. (2002). “ A quasiarticulatory approach to controlling acoustic source parameters in a klatt-type formant synthesizer using HLsyn,” J. Acoust. Soc. Am. 112, 1158–1182.
6. Jakobson, R. , Fant, C. G. M. , and Halle, M. (1952). “ Preliminaries to speech analysis: The distinctive features and their correlates,” Tech. Rep. 13 (Acoustic Laboratory, MIT, Cambridge, MA).
7. Jepsen, M. L. , and Dau, T. (2011). “ Characterizing auditory processing and perception in individual listeners with sensorineural hearing loss,” J. Acoust. Soc. Am. 129, 262–281.
8. Jepsen, M. L. , Ewert, S. D. , and Dau, T. (2008). “ A computational model of human auditory signal processing and perception,” J. Acoust. Soc. Am. 124, 422–438.
9. Jürgens, T. , and Brand, T. (2009). “ Microscopic prediction of speech recognition for listeners with normal hearing in noise using an auditory model,” J. Acoust. Soc. Am. 126, 2635–2648.
10. Lopez-Poveda, E. A. , and Johannesen, P. T. (2012). “ Behavioral estimates of the contribution of inner and outer hair cell dysfunction to individualized audiometric loss,” J. Assoc. Res. Otolaryngol. 13, 485–504.
10. Lopez-Poveda, E. A. , Johannesen, P. T. , and Merchán, M. A. (2009). “ Estimation of the degree of inner and outer hair cell dysfunction from distortion product otoacoustic emission input/output functions,” Audiolog. Med. 7, 22–28.
12. Messing, D. P. , Delhorne, L. , Bruckert, E. , Braida, L. D. , and Ghitza, O. (2009). “ A non-linear efferent-inspired model of the auditory system; matching human confusions in stationary noise,” Speech Commun. 51, 668–683.
13. Nelson, D. A. , Schroder, A. C. , and Wojtczak, M. (2001). “ A new procedure for measuring peripheral compression in normal-hearing and hearing-impaired listeners,” J. Acoust. Soc. Am. 110, 2045–2064.
14. Plomp, R. (1978). “ Auditory handicap of hearing impairment and the limited benefit of hearing aids,” J. Acoust. Soc. Am. 63, 533–549.
15. Poling, G. L. , Horwitz, A. R. , Ahlstrom, J. B. , and Dubno, J. R. (2012). “ Individual differences in behavioral estimates of cochlear nonlinearities,” J. Assoc. Res. Otolaryngol. 13, 91–108.
16. Smoorenburg, G. (1992). “ Speech reception in quiet and in noisy conditions by individuals with noise induced hearing loss in relation to their tone audiogram,” J. Acoust. Soc. Am. 91, 421–437.
17. Voiers, W. D. (1983). “ Evaluating processed speech using the diagnostic rhyme test,” Speech Technol. 1, 30–39.
18. Wojtczak, M. , and Oxenham, A. J. (2009). “ Pitfalls in behavioral estimates of basilar-membrane compression in humans,” J. Acoust. Soc. Am. 125, 270–281.
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The premise of this study is that models of hearing, in general, and of individual hearing impairment, in particular, can be improved by using speech test results as an integral part of the modeling process. A conceptual iterative procedure is presented which, for an individual, considers measures of sensitivity, cochlear compression, and phonetic confusions using the Diagnostic Rhyme Test (DRT) framework. The suggested approach is exemplified by presenting data from three hearing-impaired listeners and results obtained with models of the hearing impairment of the individuals. The work reveals that the DRT data provide valuable information of the damaged periphery and that the non-speech and speech data are complementary in obtaining the best model for an individual.
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