Literature DB >> 25698006

Spectro-temporal modulation masking patterns reveal frequency selectivity.

Arne Oetjen1, Jesko L Verhey2.   

Abstract

The present study investigated the possibility that the human auditory system demonstrates frequency selectivity to spectro-temporal amplitude modulations. Threshold modulation depth for detecting sinusoidal spectro-temporal modulations was measured using a generalized masked threshold pattern paradigm with narrowband masker modulations. Four target spectro-temporal modulations were examined, differing in their temporal and spectral modulation frequencies: a temporal modulation of -8, 8, or 16 Hz combined with a spectral modulation of 1 cycle/octave and a temporal modulation of 4 Hz combined with a spectral modulation of 0.5 cycles/octave. The temporal center frequencies of the masker modulation ranged from 0.25 to 4 times the target temporal modulation. The spectral masker-modulation center-frequencies were 0, 0.5, 1, 1.5, and 2 times the target spectral modulation. For all target modulations, the pattern of average thresholds for the eight normal-hearing listeners was consistent with the hypothesis of a spectro-temporal modulation filter. Such a pattern of modulation-frequency sensitivity was predicted on the basis of psychoacoustical data for purely temporal amplitude modulations and purely spectral amplitude modulations. An analysis of separability indicates that, for the present data set, selectivity in the spectro-temporal modulation domain can be described by a combination of a purely spectral and a purely temporal modulation filter function.

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Year:  2015        PMID: 25698006     DOI: 10.1121/1.4906171

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


  2 in total

1.  Forward masking of spectrotemporal modulation detection.

Authors:  Christopher Conroy; Andrew J Byrne; Gerald Kidd
Journal:  J Acoust Soc Am       Date:  2022-02       Impact factor: 1.840

2.  Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners.

Authors:  Emmanuel Ponsot; Léo Varnet; Nicolas Wallaert; Elza Daoud; Shihab A Shamma; Christian Lorenzi; Peter Neri
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

  2 in total

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