Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features

Neururer, Daniel; Dellwo, Volker; Stadelmann, Thilo

doi:10.1016/j.patrec.2024.03.016

Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features

Neururer, Daniel; Dellwo, Volker; Stadelmann, Thilo (2024). Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features. Pattern Recognition Letters, 181:64-69.

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Additional indexing

Item Type:	Journal Article, not_refereed, original work
Communities & Collections:	06 Faculty of Arts > Institute of Computational Linguistics 08 Research Priority Programs > Digital Society Initiative 06 Faculty of Arts > Zurich Center for Linguistics 08 Research Priority Programs > Language and Space 06 Faculty of Arts > Linguistic Research Infrastructure (LiRI)
Dewey Decimal Classification:	000 Computer science, knowledge & systems 410 Linguistics
Scopus Subject Areas:	Physical Sciences > Software Physical Sciences > Signal Processing Physical Sciences > Computer Vision and Pattern Recognition Physical Sciences > Artificial Intelligence
Uncontrolled Keywords:	Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Software
Language:	English
Date:	May 2024
Deposited On:	25 Apr 2024 07:11
Last Modified:	29 Apr 2025 01:37
Publisher:	Elsevier
ISSN:	0167-8655
OA Status:	Hybrid
Free access at:	Publisher DOI. An embargo period may apply.
Publisher DOI:	https://doi.org/10.1016/j.patrec.2024.03.016