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 yet remained unclear whether this onset advantage is due 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, JASA, 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
Date Deposited:	14 Jan 2020 12:51
Last Modified:	04 Jun 2020 08:18
URI:	https://oops.uni-oldenburg.de/id/eprint/4233
URN:	urn:nbn:de:gbv:715-oops-43149
DOI:	10.1121/1.5141369
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