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Otoacoustic Emissions and Cochlear Travelling Waves

  • Eberhard Zwicker
Part of the NATO ASI Series book series (NSSA)

Abstract

An interesting characteristic of human hearing is the frequency distance of extreme values of all three kinds of emissions, spontaneous (SOAE), simultaneous evoked (SEOAE), and delayed evoked (DEOAE) otoacoustic emissions. This preferred frequency distance was described as being frequency dependent. Transformed into the critical band rate, however, it shows a quite constant value. The first data collection (Zwicker and Schloth, 1984) pointed towards a characteristic value of about a half of a critical band width. Larger data collection (Dallmayr, 1985, 1987) for SOAE and SEOAE uncovered this characteristic value as being close to 0.4 Bark. This value seems to be very stable and quite independent of subjects. The reason for this value must be hidden somehow in the cochlear mechanics. It is the goal of this paper to search for such a relation.

Keywords

Outer Hair Cell Basilar Membrane Otoacoustic Emission Oval Window Human Hearing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Dallmayr, C. (1985) Spontane otoakustische Emissionen, Statistik und Reaktion auf akustische Störtöne. Acustica 59, 67–75.Google Scholar
  2. Dallmayr, C. (1987) Stationary and dynamic properties of simultaneous evoked otoacoustic emissions (SEOAE). Acustica 63, 243–255.Google Scholar
  3. Long, G.R., Tubis, A., and Jones, K. (1986) Changes in spontaneous and evoked otoacoustic emissions and the corresponding psychoacoustic threshold microstructure induced by aspirin consumption. In: Peripheral Auditory Mechanisms (Eds: J.B. Allen et al.) Springer Verlag, Berlin, pp. 213–220.Google Scholar
  4. Lumer, G. (1987) Computer model of cochlear preprocessing (steady state condition) I. Basics and results for one sinusoidal input signal. Acustica 62, 282–290.Google Scholar
  5. Manley, G.A. (1983) Frequency spacing of acoustic emissions: a possible explanation. In: Mechanisms of Hearing. W.R. Webster and L.M. Aitkin (Eds.), Monash-University Press, Melbourne, pp. 36–39.Google Scholar
  6. Peisl, W. (1988) Simulation von zeitverzögerten evozierten oto-akustischen Emissionen mit Hilfe eines digitalen Innenohrmodells. In:Fortschritte der Akustik, DAGA’88, Verl.: DPG-GmbH, Bad Honnef. (in press).Google Scholar
  7. Zwicker, E. (1979) A model describing nonlinearities in hearing by active processes with saturation at 40dB. Biol. Cybernetics 35, 243–250.CrossRefGoogle Scholar
  8. Zwicker, E. (1986a) A hardware cochlear nonlinear preprocessing model with active feedback. J.Acoust.Soc.Am. 80, 154–162.PubMedCrossRefGoogle Scholar
  9. Zwicker, E. (1986b) “Otoacoustic” emissions in a nonlinear cochlear hardware model with feedback. J.Acoust.Soc.A. 80, 163–176.CrossRefGoogle Scholar
  10. Zwicker, E. and Lumer, G. (1985) Evaluating traveling wave characteristics in man by an active nonlinear cochlear preprocessing model. In: Peripheral Auditory Mechanisms, (Eds: J.B. Allen et al.) Springer, Berlin, pp. 250–257.Google Scholar
  11. Zwicker, E. and Schloth, E. (1984) Interrelation of different oto-acoustic emissions. J.Acoust.Soc.Am. 75, 1148–1154.PubMedCrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1989

Authors and Affiliations

  • Eberhard Zwicker
    • 1
  1. 1.Institute of ElectroacousticsTechnical University MünchenMünchen 2F.R. Germany

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