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Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts

Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts

来源:Arxiv_logoArxiv
英文摘要

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.

Panagiotis Tzirakis、Alice Baird、Kory Mathewson、Bj?rn Schuller、Dacher Keltner、Marco Jiralerspong、Eilif B. Muller、Erik Cambria、Gauthier Gidel、Alan Cowen

生物科学现状、生物科学发展计算技术、计算机技术人类学

Panagiotis Tzirakis,Alice Baird,Kory Mathewson,Bj?rn Schuller,Dacher Keltner,Marco Jiralerspong,Eilif B. Muller,Erik Cambria,Gauthier Gidel,Alan Cowen.Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts[EB/OL].(2022-07-14)[2025-08-19].https://arxiv.org/abs/2207.06958.点此复制

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