Siedenburg, Kai and Schädler, Marc René and Hülsmeier, David (2019) Modeling the onset advantage in musical instrument recognition. The Journal of the Acoustical Society of America, 146 (6). EL523-EL529. ISSN 0001-4966

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Abstract

Sound onsets provide particularly valuable cues for musical instrument identification by human listeners. It has remained unclear whether this onset advantage is due to enhanced perceptual encoding or the richness of acoustical information during onsets. Here this issue was approached by modeling a recent study on instrument identification from tone excerpts [Siedenburg. (2019). J. Acoust. Soc. Am. 145(2), 1078–1087]. A simple Hidden Markov Model classifier with separable Gabor filterbank features simulated human performance and replicated the onset advantage observed previously for human listeners. These results provide evidence that the onset advantage may be driven by the distinct acoustic qualities of onsets.

Item Type: Article
Additional Information: Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg.
Subjects: Science and mathematics > Physics
Technology, medicine, applied sciences > Medicine and health
Divisions: Faculty of Medicine and Health Sciences > Department of Medical Physics and Acoustics
Date Deposited: 24 Mar 2020 11:56
Last Modified: 24 Mar 2020 11:56
URI: https://oops.uni-oldenburg.de/id/eprint/4579
URN: urn:nbn:de:gbv:715-oops-46601
DOI: 10.1121/1.5141369
Nutzungslizenz:

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