A computational model of human auditory signal processing and perception

Publication: Research - peer-reviewJournal article – Annual report year: 2008

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A computational model of human auditory signal processing and perception. / Jepsen, Morten Løve; Ewert, Stephan D.; Dau, Torsten.

In: Journal of the Acoustical Society of America, Vol. 124, No. 1, 2008, p. 422-438.

Publication: Research - peer-reviewJournal article – Annual report year: 2008

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Author

Jepsen, Morten Løve; Ewert, Stephan D.; Dau, Torsten / A computational model of human auditory signal processing and perception.

In: Journal of the Acoustical Society of America, Vol. 124, No. 1, 2008, p. 422-438.

Publication: Research - peer-reviewJournal article – Annual report year: 2008

Bibtex

@article{d5a1018d98ba48e998589f4d6b64f256,
title = "A computational model of human auditory signal processing and perception",
publisher = "Acoustical Society of America",
author = "Jepsen, {Morten Løve} and Ewert, {Stephan D.} and Torsten Dau",
note = "Copyright (2008) Acoustical Society of America. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America.",
year = "2008",
doi = "10.1121/1.2924135",
volume = "124",
number = "1",
pages = "422--438",
journal = "Journal of the Acoustical Society of America",
issn = "0001-4966",

}

RIS

TY - JOUR

T1 - A computational model of human auditory signal processing and perception

A1 - Jepsen,Morten Løve

A1 - Ewert,Stephan D.

A1 - Dau,Torsten

AU - Jepsen,Morten Løve

AU - Ewert,Stephan D.

AU - Dau,Torsten

PB - Acoustical Society of America

PY - 2008

Y1 - 2008

N2 - A model of computational auditory signal-processing and perception that accounts for various aspects of simultaneous and nonsimultaneous masking in human listeners is presented. The model is based on the modulation filterbank model described by Dau et al. [J. Acoust. Soc. Am. 102, 2892 (1997)] but includes major changes at the peripheral and more central stages of processing. The model contains outer- and middle-ear transformations, a nonlinear basilar-membrane processing stage, a hair-cell transduction stage, a squaring expansion, an adaptation stage, a 150-Hz lowpass modulation filter, a bandpass modulation filterbank, a constant-variance internal noise, and an optimal detector stage. The model was evaluated in experimental conditions that reflect, to a different degree, effects of compression as well as spectral and temporal resolution in auditory processing. The experiments include intensity discrimination with pure tones and broadband noise, tone-in-noise detection, spectral masking with narrow-band signals and maskers, forward masking with tone signals and tone or noise maskers, and amplitude-modulation detection with narrow- and wideband noise carriers. The model can account for most of the key properties of the data and is more powerful than the original model. The model might be useful as a front end in technical applications.

AB - A model of computational auditory signal-processing and perception that accounts for various aspects of simultaneous and nonsimultaneous masking in human listeners is presented. The model is based on the modulation filterbank model described by Dau et al. [J. Acoust. Soc. Am. 102, 2892 (1997)] but includes major changes at the peripheral and more central stages of processing. The model contains outer- and middle-ear transformations, a nonlinear basilar-membrane processing stage, a hair-cell transduction stage, a squaring expansion, an adaptation stage, a 150-Hz lowpass modulation filter, a bandpass modulation filterbank, a constant-variance internal noise, and an optimal detector stage. The model was evaluated in experimental conditions that reflect, to a different degree, effects of compression as well as spectral and temporal resolution in auditory processing. The experiments include intensity discrimination with pure tones and broadband noise, tone-in-noise detection, spectral masking with narrow-band signals and maskers, forward masking with tone signals and tone or noise maskers, and amplitude-modulation detection with narrow- and wideband noise carriers. The model can account for most of the key properties of the data and is more powerful than the original model. The model might be useful as a front end in technical applications.

U2 - 10.1121/1.2924135

DO - 10.1121/1.2924135

JO - Journal of the Acoustical Society of America

JF - Journal of the Acoustical Society of America

SN - 0001-4966

IS - 1

VL - 124

SP - 422

EP - 438

ER -