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

Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller +5 more
7/14/2022
cs.SDcs.LGeess.AS

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Abstract

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.

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@article{baird2022proceedings,
  title  = {Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts},
  author = {Alice Baird and Panagiotis Tzirakis and Gauthier Gidel and Marco Jiralerspong and Eilif B. Muller and Kory Mathewson and Björn Schuller and Erik Cambria and Dacher Keltner and Alan Cowen},
  year   = {2022},
  eprint = {2207.06958},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2207.06958v2}
}

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