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Modeling auditory processing of amplitude modulation

Dau, Torsten·1997·The Journal of the Acoustical Society of America

Abstract

A popular model of the processing of amplitude modulation (AM) [Viemeister, J. Acoust. Soc. Am. 66, 1364–1380 (1979)] consists of a bandpass filter, a rectifying nonlinearity, a low-pass filter, and a decision device. The low-pass filtering (or integration) stage was intended to simulate the temporal resolution limit by attenuating rapid changes in the envelope of the signal. Fleischer [Acustica 47, 155–163 (1981)] developed a model describing the influence of the inherent fluctuations within a noise carrier on the detectability of added modulation. The modulation spectrum was weighted by a certain factor which also essentially represented a low-pass characteristic. In a recent modeling approach [Dau et al., submitted to J. Acoust. Soc. Am. (1997)], a modulation filterbank replaced the low-pass filter, to analyze the envelope fluctuations of the stimuli in each peripheral auditory filter. The inclusion of a modulation filterbank was motivated by results from several studies on modulation masking which provided evidence for frequency selectivity in the modulation-frequency domain. In addition, the role of peripheral filtering for the processing of amplitude modulation, the envelope statistics, and the spectral distribution of modulation power in the modulation spectrum are discussed.

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Metadata

Authors
Dau, T.
Venue
The Journal of the Acoustical Society of America
Published
1997-05-01
Volume
101
Issue
5_Supplement
Pages
3061-3061
ISSN
0001-4966 (ISSN-L)
OpenAlex
W1991163061
Cited by
167
References
0
Type
conference abstract
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling auditory processing of amplitude modulation. https://app.cochat.ai/papers/10.1121/1.418727
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Dau, T. (1997). Modeling auditory processing of amplitude modulation. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.418727

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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