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
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
May-1-2023