The ACM Multimedia 2023 Computational Paralinguistics Challenge: emotion share & requests
- Schuller, Björn W.
- Batliner, Anton
- Amiriparian, Shahin
- Barnhill, Alexander
- Gerczuk, Maurice
- Triantafyllopoulos, Andreas
- Baird, Alice
- Tzirakis, Panagiotis
- Gagne, Chris
- Cowen, Alan S.
- Lackovic, Nikola
- Caraty, Marie-José
- Montacié, Claude
DOIAbstract
The ACM Multimedia 2023 Computational Paralinguistics Chal- lenge addresses two different problems for the first time in a re- search 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 de- tected. 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
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