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Revisiting models of concurrent vowel identification: the critical case of no pitch differences

Smith, Samuel S.; Chintanpalli, Ananthakrishna; Heinz, Michael G.; Sumner, Christian J.

Authors

Samuel S. Smith

Ananthakrishna Chintanpalli

Michael G. Heinz

Christian J. Sumner

Abstract

When presented with two vowels simultaneously, humans are often able to identify the constituent vowels. Computational models exist that simulate this ability, however they predict listener confusions poorly, particularly in the case where the two vowels have the same fundamental frequency. Presented here is a model that is uniquely able to predict the combined representation of concurrent vowels. The given model is able to predict listener's systematic perceptual decisions to a high degree of accuracy.

Journal Article Type Article
Publication Date Sep 1, 2018
Print ISSN 1610-1928
Publisher Hirzel Verlag
Peer Reviewed Peer Reviewed
Volume 104
Issue 5
Pages 922-925
DOI https://doi.org/10.3813/AAA.919244
Publisher URL https://www.ingentaconnect.com/content/dav/aaua/2018/00000104/00000005/art00047;jsessionid=eqgek0au2af4.x-ic-live-02
Additional Information The archived file is not the final published version of the article. © 2018 S. Hirzel Verlag/European Acoustics Association, The definitive publisher-authenticated version is available online at http://www.ingentaconnect.com/content/dav/aaua http//dx.doi.org/10.3813/AAA.919244

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