Schuller BW, Batliner A, Amiriparian S, Barnhill A, Gerczuk M, Triantafyllopoulos A, Baird AE, Tzirakis P, Gagne C, Cowen AS, Lackovic N, Caraty MJ, Montacié C (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Association for Computing Machinery, Inc
Pages Range: 9635-9639
Conference Proceedings Title: MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia
Event location: Ottawa, ON, CAN
ISBN: 9798400701085
The ACM Multimedia 2023 Computational Paralinguistics Challenge addresses two different problems for the first time in a research competition under well-defined conditions: In the Emotion Share Sub-Challenge, a regression on speech has to be made; and in the Requests Sub-Challenges, requests and complaints need to be detected. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the 'usual' ComPaRE features, the auDeep toolkit, and deep feature extraction from pre-trained CNNs using the DeepSpectRum toolkit; in addition, wav2vec2 models are used.
APA:
Schuller, B.W., Batliner, A., Amiriparian, S., Barnhill, A., Gerczuk, M., Triantafyllopoulos, A.,... Montacié, C. (2023). The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. In MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia (pp. 9635-9639). Ottawa, ON, CAN, CA: Association for Computing Machinery, Inc.
MLA:
Schuller, Björn W., et al. "The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests." Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, CAN Association for Computing Machinery, Inc, 2023. 9635-9639.
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