论文标题
ICML 2022的会议论文集表达性发声研讨会和竞争：认识，产生和个性化声音爆发
Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts
论文作者
论文摘要
这是ICML表达发声（EXVO）竞赛的会议记录。 EXVO竞争的重点是理解和产生声乐爆发：笑声，喘息，哭泣和其他非语言发声，这是情感表达和交流的核心。 EXVO 2022，包括三个竞赛曲目，使用1,702位扬声器的59,201个发声的大规模数据集。首先是Exvo-Multitask，要求参与者训练多任务模型，以识别声音爆发中表达的情绪和人口特征。第二个是exvo生成的，要求参与者训练一种产生声音爆发的生成模型，传达了十种不同的情绪。第三个exvo-fewshot要求参与者利用少量的学习融合说话者身份来训练模型，以识别声音爆发传达的10种情感。
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.
