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A fast method for the determination of psychophysical tuning curves: further refining

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Języki publikacji
EN
Abstrakty
EN
Psychophysical tuning curves (PTCs) are usually measured by determining the level of a narrowband noise required just to mask a fixed, low-level tone, for several masker centre frequencies. PTCs are often used to assess the frequency selectivity of the auditory system and they have also been used to detect “dead regions” in the cochlea, especially to define the frequency boundaries of the dead regions. However, the traditional method of PTC determination is too-time consuming for use in clinical practice. This paper is concerned with further evaluation and refining of a fast method for determining PTCs, based on the use of a sweeping band of noise. The fixed sinusoidal signal is turned on and off at regular time intervals and is masked by a band of noise, whose centre frequency sweeps over a range of two octaves during four minutes. A Békésy method is used to determine the masker level required for threshold; the subject presses a button to indicate that the signal is inaudible, and releases it when the signal is audible, and the masker level is adjusted accordingly by a computer. The fast method was evaluated using normally hearing subjects and showed good agreement with the results obtained with the use of the traditional method. The shapes of the PTCs, the slopes of the lowand high-frequency skirts, and the positions of the minima were very similar when the fast and the traditional methods were used. However from the point of view of clinical usage the determination of the PTC tip, that is the masker centre frequency at which the masker level is lowest is the most important issue. The position of the PTC minimum with reference to the tone frequency indicates the presence of a dead region. Therefore, in this study several methods of the PTC minimum estimation were evaluated and compared. It has turned out that a fitting method of a single PTC by means of a square function yielded the best results. The method gave the smallest standard deviation, the highest kurtosis and the narrowest range of the PTC minima.
Słowa kluczowe
Rocznik
Strony
707--728
Opis fizyczny
Bibliogr. 26 poz., rys.
Twórcy
autor
  • Adam Mickiewicz University Institute of Acoustics Umultowska 85, 61-614 Poznań, Poland
autor
  • Adam Mickiewicz University Institute of Acoustics Umultowska 85, 61-614 Poznań, Poland
autor
  • Adam Mickiewicz University Institute of Acoustics Umultowska 85, 61-614 Poznań, Poland
Bibliografia
  • [1] FLETCHER H., Auditory patterns, Reviews of Modern Physics, 12, 47–65 (1940).
  • [2] GLASBERG B. R., MOORE B. C. J., Derivation of auditory filter shapes from notched-noise data, Hearing Research, 47, 103–138 (1990).
  • [3] GREENWOOD D. D., Critical bandwidth and the frequency coordinates of the basilar membrane, Journal of the Acoustical Society of America, 33, 1344–1356 (1961).
  • [4] HARRIS J. D., Békésy Audiometry at 20 Frequencies from 0.2 to 6 kc/sec, The Journal of the Acoustical Society of America, 36, 10, 1954–1955 (1964).
  • [5] HOUTGAST T., Auditory-filter characteristics derived from direct-masking data and pulsationthreshold data with a rippled-noise masker, Journal of the Acoustical Society of America, 62, 409–415 (1977).
  • [6] JOHNSON-DAVIES D., PATTERSON R. D., Psychophysical tuning curves: restricting the listening band to the signal region, Journal of the Acoustical Society of America, 65, 675–770 (1979).
  • [7] KLUK K., MOORE B. C. J., Factors affecting psychophysical tuning curves for normally-hearing subjects, Hearing Research, 194, 118–134 (2004).
  • [8] LEVITT H., Transformed up-down methods in psychoacoustics, Journal of the Acoustical Society of America, 49, 467–477 (1971).
  • [9] MOORE B. C. J., Dead regions in the cochlea: Diagnosis, perceptual consequences, and implications for the fitting of hearing aids, Trends in Amplification, 5, 1, 1–34 (2001).
  • [10] MOORE B. C. J., An Introduction to the Psychology of Hearing, 5th Ed., Academic Press, London 2003.
  • [11] MOORE B. C. J., GLASBERG B. R., BAER T., A model for the prediction of thresholds, loudness and partial loudness, Journal of the Audio Engineering Society, 45, 224–240 (1997).
  • [12] MOORE B. C. J., HUSS M., VICKERS D. A., GLASBERG B. R., ALCÁNTARA J. I., A test for the diagnosis of dead regions in the cochlea, British Journal of Audiology, 34, 205–224 (2000).
  • [13] MORÉ J. J. SORENSEN D. C., Computing a Trust Region Step, SIAM Journal on Scientific and Statistical Computing, 3, 553–572 (1983).
  • [14] PATTERSON R. D., Auditory filter shape, Journal of the Acoustical Society of America, 55, 802–809 (1974).
  • [15] PATTERSON R. D., Auditory filter shapes derived with noise stimuli, Journal of the Acoustical Society of America, 59, 640–654 (1976).
  • [16] PATTERSON R. D. MOORE B. C. J., Auditory filters and excitation patterns as representations of frequency resolution, [in:] Frequency Selectivity in Hearing, B. C. J. MOORE [Ed.], pp. 123–177, Academic, London 1986.
  • [17] PATTERSON R. D. NIMMO-SMITH I., Off-frequency listening and auditory filter asymmetry, Journal of the Acoustical Society of America, 67, 229–245 (1980).
  • [18] PICKLES J. O., An Introduction to the Physiology of Hearing, 2nd ed., Academic Press, London 1988.
  • [19] RUGGERO M. A., NARAYAN S. S., TEMCHIN A. N., RECIO A., Mechanical bases of frequency tuning and neural excitation at the base of the cochlea: comparison of basilar-membrane vibrations and auditory- nerve-fiber responses in chinchilla, Proceedings of the National Academy of Sciences, USA, 97, 22, 11744–11750 (2000).
  • [20] SANTOS–SACCHI J., Fast outer hair cell motility, [in:] The mechanics and biophysics of hearing, C.D.G. P. DALLOS, J.W. MATTHEWS, M. A. RUGGERO [Eds.], pp. 69–75, Springer-Verlag, New York 1997.
  • [21] SANTOS–SACCHI J., Harmonics of outer hair cell motility, Biophysical Journal, 65, 2217–2227 (1993).
  • [22] SCHOONEVELDT G. P., MOORE B. C. J., Comodulation masking release (CMR) as a function of masker bandwidth, modulator bandwidth and signal duration, Journal of the Acoustical Society of America, 85, 273–281 (1989).
  • [23] SĘK A., Development of a fast method for measuring psychophysical tuning curves, Acoustic Information Systems Laboratory, Research Institute of Electrical Communication, Tohoku University, Sendai, Japan 2003.
  • [24] SĘK A., ALCÁNTARA J. I., MOORE B. C.M., KLUK K., WICHER A., Development of a fast method for determining psychophysical tuning curves, International Journal of Audiology, 44, 408–420 (2005).
  • [25] SĘK A., WICHER A., Fast method for determining psychological tuning curves, [in:] Signal processing’ 2004, IEEE Polish Chapter, Pozna´n University of Technology, Pozna´n 2004.
  • [26] YOUNG I.M., HARBERT F., Effects of Direction of Frequency Sweep on Békésy Audiometry, The Journal of the Acoustical Society of America, 46, 1A, 87 (1969).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-84f8dc7f-7e68-4c4b-b697-7560043ab49c
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