Literature DB >> 3654390

Formulae describing frequency selectivity as a function of frequency and level, and their use in calculating excitation patterns.

B C Moore1, B R Glasberg.   

Abstract

The auditory filter may be considered as a weighting function representing frequency selectivity at a particular centre frequency. Its shape can be derived using the power-spectrum model of masking which assumes: (1) in detecting a signal in a masker the observer uses the single auditory filter giving the highest signal-to-masker ratio; (2) threshold corresponds to a fixed signal-to-masker ratio at the output of that filter. Factors influencing the choice of a masker to measure the auditory filter shape are discussed. Narrow-band maskers are unsuitable for this purpose, since they violate the assumptions of the power-spectrum model. A method using a notched-noise masker is recommended, and typical results using that method are presented. The variation of the auditory filter shape with centre frequency and with level, and the relationship of the auditory filter shape and the excitation pattern are described. A method of calculating the excitation pattern of any sound as a function of level is presented, and examples and applications are given. The appendix gives a Fortran program for calculating excitation patterns.

Mesh:

Year:  1987        PMID: 3654390     DOI: 10.1016/0378-5955(87)90050-5

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  41 in total

1.  Individual differences and age effects in a dichotic informational masking paradigm.

Authors:  Frederic L Wightman; Doris J Kistler; Amanda O'Bryan
Journal:  J Acoust Soc Am       Date:  2010-07       Impact factor: 1.840

2.  Gap detection in school-age children and adults: effects of inherent envelope modulation and the availability of cues across frequency.

Authors:  Emily Buss; Joseph W Hall; Heather Porter; John H Grose
Journal:  J Speech Lang Hear Res       Date:  2014-06-01       Impact factor: 2.297

3.  Speech recognition with amplitude and frequency modulations.

Authors:  Fan-Gang Zeng; Kaibao Nie; Ginger S Stickney; Ying-Yee Kong; Michael Vongphoe; Ashish Bhargave; Chaogang Wei; Keli Cao
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-27       Impact factor: 11.205

Review 4.  Some problems in the measurement of the frequency-resolving ability of hearing.

Authors:  A Ya Supin
Journal:  Neurosci Behav Physiol       Date:  2005-10

5.  Temporal processing deficits in the pre-senescent auditory system.

Authors:  John H Grose; Joseph W Hall; Emily Buss
Journal:  J Acoust Soc Am       Date:  2006-04       Impact factor: 1.840

6.  Detection of spectrally complex signals in comodulated maskers: effect of temporal fringe.

Authors:  John H Grose; Joseph W Hall; Emily Buss; Debora R Hatch
Journal:  J Acoust Soc Am       Date:  2005-12       Impact factor: 1.840

7.  Level dependence of auditory filters in nonsimultaneous masking as a function of frequency.

Authors:  Andrew J Oxenham; Andrea M Simonson
Journal:  J Acoust Soc Am       Date:  2006-01       Impact factor: 1.840

Review 8.  Basic auditory processes involved in the analysis of speech sounds.

Authors:  Brian C J Moore
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

9.  Effects of spectral modulation filtering on vowel identification.

Authors:  Chang Liu; David A Eddins
Journal:  J Acoust Soc Am       Date:  2008-09       Impact factor: 1.840

10.  The role of pitch and harmonic cancellation when listening to speech in harmonic background sounds.

Authors:  Daniel R Guest; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2019-05       Impact factor: 1.840

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