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Journal ArticleDOI

Frequency selectivity in amplitude-modulation detection

T. Houtgast
- 01 Apr 1989 - 
- Vol. 85, Iss: 4, pp 1676-1680
TLDR
It is argued that the present results on frequency selectivity in modulation detection underline the perceptual relevance of a spectral decomposition of a signal’s temporal envelope and provide a rationale for the application of modern concepts like the speech‐envelope spectrum or the modulation‐transfer function in relation to speech intelligibility.
Abstract
For a broadband noise carrier, the modulation detection threshold for sinusoidal amplitude modulation (the test modulation) is measured in the presence of an additional modulation (the masker modulation). Two traditional approaches for revealing effects of frequency selectivity in the audiofrequency domain are shown to give comparable results in the modulation‐frequency domain: (1) a typically peaked modulation‐detection threshold pattern when the masker modulation is a fixed narrow band of noise, and (2) an effect of leveling off of the increase of the modulation‐detection threshold when, for a fixed test‐modulation frequency, the masker‐modulation bandwidth is widened beyond a certain ‘‘critical’’ bandwidth. It is argued that the present results on frequency selectivity in modulation detection underline the perceptual relevance of a spectral decomposition of a signal’s temporal envelope and provide a rationale for the application of modern concepts like the speech‐envelope spectrum or the modulation‐transfer function in relation to speech intelligibility.

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Citations
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Journal ArticleDOI

Neural processing of amplitude-modulated sounds.

TL;DR: The picture that emerges is that temporal modulations are a critical stimulus attribute that assists us in the detection, discrimination, identification, parsing, and localization of acoustic sources and that this wide-ranging role is reflected in dedicated physiological properties at different anatomical levels.
Journal ArticleDOI

Multiresolution spectrotemporal analysis of complex sounds

TL;DR: A computational model of auditory analysis is described that is inspired by psychoacoustical and neurophysiological findings in early and central stages of the auditory system and provides a unified multiresolution representation of the spectral and temporal features likely critical in the perception of sound.
Journal ArticleDOI

Modeling auditory processing of amplitude modulation I. Detection and masking with narrow-band carriers

TL;DR: A quantitative model for describing data from modulation-detection and modulation-masking experiments is presented, which proposes that the typical low-pass characteristic of the temporal modulation transfer function observed with wide-band noise carriers is not due to "sluggishness" in the auditory system, but can instead be understood in terms of the interaction between modulation filters and the inherent fluctuations in the carrier.
Journal ArticleDOI

Representation of the temporal envelope of sounds in the human brain

TL;DR: Overall, this study shows that the temporal envelope of sounds is processed by both distinct (hierarchically organized series of filters) and shared (high and low AM frequencies eliciting different responses at the same cortical locus) neural substrates.
Journal ArticleDOI

Mechanisms for allocating auditory attention: an auditory saliency map

TL;DR: It is concluded that saliency is determined either by implementing similar mechanisms in different unisensory pathways or by the same mechanism in multisENSory areas, and the results demonstrate that different primate sensory systems rely on common principles for extracting relevant sensory events.
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