This is the Proceedings of the ICML Expressive Vocalization (ExVo) Competition. The ExVo competition focuses on understanding and generating vocal bursts: laughs, gasps, cries, and other non-verbal vocalizations that are central to emotional expression and communication. ExVo 2022, included three competition tracks using a large-scale dataset of 59,201 vocalizations from 1,702 speakers. The first, ExVo-MultiTask, requires participants to train a multi-task model to recognize expressed emotions and demographic traits from vocal bursts. The second, ExVo-Generate, requires participants to train a generative model that produces vocal bursts conveying ten different emotions. The third, ExVo-FewShot, requires participants to leverage few-shot learning incorporating speaker identity to train a model for the recognition of 10 emotions conveyed by vocal bursts.
翻译:这是ICML Exploive Vocalization (ExVo) 竞赛的议事录。 ExVo 竞赛的焦点是理解和产生声波:笑、喘、哭声和其他非语言的声响,这些是情感表达和交流的核心。 ExVo 2022 包括三个竞争轨道,它们使用来自1 702个发言者的59 201个大规模数据集。 第一个是 ExVo-MultiTask, 要求参与者培训一个多任务模型, 以识别来自声波的表达情感和人口特征。 第二个是 ExVo-Generenrate, 要求参与者培训一种基因模型, 产生十种不同情感的发声。 第三个是 ExVo-FewShot, 要求参与者利用几发式学习, 包含1 702个发言者的身份, 来训练一个模型, 来识别通过声波传递的10种情绪。