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ACM Multimedia 2023Grand Challenges

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests

Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Alexander Barnhill, Maurice Gerczuk, Andreas Triantafyllopoulos, Alice E. Baird, Panagiotis Tzirakis, Chris Gagne 0001, Alan S. Cowen, Nikola Lackovic, Marie-José Caraty, Claude Montacié

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3581783.3612835 ↗

摘要

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.