Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (Extended Abstract)

  • As the recognition of emotion from speech has matured to a degree where it becomes applicable in real-life settings, it is time for a realistic view on obtainable performances. Most studies tend to overestimation in this respect: acted data is often used rather than spontaneous data, results are reported on pre-selected prototypical data, and true speaker disjunctive partitioning is still less common than simple cross-validation. A considerably more realistic impression can be gathered by inter-set evaluation: we therefore show results employing six standard databases in a cross-corpora evaluation experiment. To better cope with the observed high variances, different types of normalization are investigated. 1.8k individual evaluations in total indicate the crucial performance inferiority of inter- to intra-corpus testing.

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Author:Björn Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André StuhlsatzORCiDGND, Andreas Wendemuth, Gerhard Rigoll
open access:Bronze - frei zugänglich aber ohne Lizenzhinweis, d.h. keine Weitergabe
Fachbereich/Einrichtung:Hochschule Düsseldorf / Fachbereich - Maschinenbau und Verfahrenstechnik
Document Type:Conference Proceeding
Year of Completion:2015
Language of Publication:English
Parent Title (English):In Proc. 6th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2015), AAAC,
Related URL:https://web.archive.org/web/20250716075551/https://publications.idiap.ch/downloads/papers/2015/Schuller_ACII2015_2015.pdf
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Licence (German):Es gilt das deutsche Urheberrecht
Release Date:2025/07/16
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