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.

翻译：ACM多媒体2023计算副语言学挑战赛首次在明确定义条件下的研究竞赛中解决两个不同问题：在情绪共享子挑战赛中，需对语音进行回归分析；在请求子挑战赛中，需检测请求与投诉。本文描述了各子挑战赛、基线特征提取方法，以及基于常规ComPaRE特征、auDeep工具包、使用DeepSpectRum工具包从预训练CNN中提取的深度特征的分类器；此外，还使用了wav2vec2模型。