Web: http://arxiv.org/abs/2205.01780

June 24, 2022, 1:11 a.m. | Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory Mathewson, Björn Schuller, Erik Cambria, Dacher Keltn

cs.LG updates on arXiv.org arxiv.org

The ICML Expressive Vocalization (ExVo) Competition is focused on
understanding and generating vocal bursts: laughs, gasps, cries, and other
non-verbal vocalizations that are central to emotional expression and
communication. ExVo 2022, includes 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 …

2022 arxiv competition expressive vocalizations workshop

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY