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Modeling off-frequency binaural masking for short- and long-duration signals

Nitschmann, M; Yasin, I; Henning, GB; Verhey, JL; (2017) Modeling off-frequency binaural masking for short- and long-duration signals. Journal of the Acoustical Society of America , 142 (2) , Article EL205. 10.1121/1.4996438. Green open access

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Abstract

Experimental binaural masking-pattern data are presented together with model simulations for 12- and 600-ms signals. The masker was a diotic 11-Hz wide noise centered on 500 Hz. The tonal signal was presented either diotically or dichotically (180° interaural phase difference) with frequencies ranging from 400 to 600 Hz. The results and the modeling agree with previous data and hypotheses; simulations with a binaural model sensitive to monaural modulation cues show that the effect of duration on off-frequency binaural masking-level differences is mainly a result of modulation cues which are only available in the monaural detection of long signals.

Type: Article
Title: Modeling off-frequency binaural masking for short- and long-duration signals
Open access status: An open access version is available from UCL Discovery
DOI: 10.1121/1.4996438
Publisher version: http://dx.doi.org/10.1121/1.4996438
Language: English
Additional information: This version is the author version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Binaural masking patterns; off-frequency; modulation cues; Hearing; Binaural hearing; Computer simulation; Speech processing systems;
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1565320
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