Literature DB >> 6853838

A central spectrum model: a synthesis of auditory-nerve timing and place cues in monaural communication of frequency spectrum.

P Srulovicz, J L Goldstein.   

Abstract

A probabilistic psychophysical model for monaural communication from the auditory nerve to the brain is given in the form of a tonotopic display of stimulus spectrum, termed central spectrum. The model builds upon prior research demonstrating the potential of neural timing cues from the auditory nerve for conveying information on complex spectra, and was designed to meet the quantified demands of the psychophysics of frequency measurement. The central spectrum magnitude at each frequency is determined by the response of the auditory-nerve fibre with characteristic frequency matching that frequency. An interval histogram from each fiber is passed through a filter matched to the characteristic frequency of the fiber. This output versus characteristic frequency defines the central spectrum. Detailed analysis demonstrates that efficient probabilistic processing of the central spectrum described known psychophysical properties of frequency measurement in discrimination and periodicity pitch experiments. Psychophysical models based upon the central spectrum model followed by optimum probabilistic pattern recognition are potentially relevant for predicting human communication limits in response to arbitrary sounds of speech and music.

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Year:  1983        PMID: 6853838     DOI: 10.1121/1.389275

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  22 in total

1.  Correct tonotopic representation is necessary for complex pitch perception.

Authors:  Andrew J Oxenham; Joshua G W Bernstein; Hector Penagos
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-12       Impact factor: 11.205

2.  Pitch perception for mixtures of spectrally overlapping harmonic complex tones.

Authors:  Christophe Micheyl; Michael V Keebler; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2010-07       Impact factor: 1.840

3.  Does fundamental-frequency discrimination measure virtual pitch discrimination?

Authors:  Christophe Micheyl; Kristin Divis; David M Wrobleski; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2010-10       Impact factor: 1.840

4.  Perceptual grouping affects pitch judgments across time and frequency.

Authors:  Elizabeth M O Borchert; Christophe Micheyl; Andrew J Oxenham
Journal:  J Exp Psychol Hum Percept Perform       Date:  2011-02       Impact factor: 3.332

5.  Implications of within-fiber temporal coding for perceptual studies of F0 discrimination and discrimination of harmonic and inharmonic tone complexes.

Authors:  Sushrut Kale; Christophe Micheyl; Michael G Heinz
Journal:  J Assoc Res Otolaryngol       Date:  2014-06

6.  Encoding of vowel-like sounds in the auditory nerve: model predictions of discrimination performance.

Authors:  Qing Tan; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2005-03       Impact factor: 1.840

7.  An autocorrelation model with place dependence to account for the effect of harmonic number on fundamental frequency discrimination.

Authors:  Joshua G W Bernstein; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2005-06       Impact factor: 1.840

8.  Predictions of formant-frequency discrimination in noise based on model auditory-nerve responses.

Authors:  Qing Tan; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2006-09       Impact factor: 1.840

9.  Characterizing the dependence of pure-tone frequency difference limens on frequency, duration, and level.

Authors:  Christophe Micheyl; Li Xiao; Andrew J Oxenham
Journal:  Hear Res       Date:  2012-07-25       Impact factor: 3.208

10.  Perception of the pitch of unresolved harmonics by 3- and 7-month-old human infants.

Authors:  Bonnie K Lau; Lynne A Werner
Journal:  J Acoust Soc Am       Date:  2014-08       Impact factor: 1.840

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