Björn Schuller, Anton Batliner, Shahin Amiriparian, Christian Bergler, Maurice Gerczuk, Natalie Holz, Pauline Larrouy-Maestri, Sebastien Bayerl, Korbinian Riedhammer, Adria Mallol-Ragolta, Maria Pateraki, Harry Coppock, Ivan Kiskin, Marianne Sinka, Stephen Roberts
- The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Vocalisations and Stuttering Sub-Challenges, a classification on human non-verbal vocalisations and speech has to be made; the Activity Sub-Challenge aims at beyond-audio human activity recognition from smartwatch sensor data; and in the Mosquitoes Sub-Challenge, mosquitoes need to be detected. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the 'usual' ComParE and BoAW features, the auDeep toolkit, and deep feature extraction from pre-trained CNNs using the DeepSpectrum toolkit; in addition, we add end-to-end sequential modelling, and a log-mel-128-BNN.
Metadaten| Author: | Björn SchullerORCiDGND, Anton BatlinerGND, Shahin AmiriparianORCiDGND, Christian Bergler, Maurice GerczukORCiD, Natalie Holz, Pauline Larrouy-Maestri, Sebastien Bayerl, Korbinian Riedhammer, Adria Mallol-RagoltaORCiDGND, Maria Pateraki, Harry Coppock, Ivan Kiskin, Marianne Sinka, Stephen Roberts |
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| URN: | urn:nbn:de:bvb:384-opus4-992849 |
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| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/99284 |
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| ISBN: | 978-1-4503-9203-7OPAC |
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| Parent Title (English): | Proceedings of the 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10-14, 2022 |
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| Publisher: | ACM |
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| Place of publication: | New York, NY |
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| Editor: | João Magalhães, Alberto del Bimbo, Shin'ichi Satoh, Nicu Sebe, Xavier Alameda-Pineda, Qin Jin, Vincent Oria, Laura Toni |
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| Type: | Conference Proceeding |
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| Language: | English |
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| Year of first Publication: | 2022 |
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| Publishing Institution: | Universität Augsburg |
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| Release Date: | 2022/11/15 |
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| First Page: | 7120 |
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| Last Page: | 7124 |
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| DOI: | https://doi.org/10.1145/3503161.3551591 |
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| Institutes: | Fakultät für Angewandte Informatik |
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| Fakultät für Angewandte Informatik / Institut für Informatik |
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| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing |
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| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
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| Licence (German): |  Deutsches Urheberrecht |
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