{"url":"/dataset/exvo2022","name":"ExVo2022","full_name":"ICML ExVo 2022 Workshop & Competition Data","description_markdown":"Baseline code for the three tracks of ExVo 2022 competition.\r\n\r\nConsists of 59,201 recordings totaling more than 36 hours of audio data from 1 702 speakers. To our knowledge, this is substantially larger than than any previously available dataset of human vocal bursts.","description_withheld":null,"homepage":"https://github.com/HumeAI/competitions/tree/main/ExVo2022","introduced_date":"2022-05-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-icml-2022-expressive-vocalizations","title":"The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts","first_author":"Alice Baird","url":null},"license":null,"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Few-Shot Learning","url":"/task/few-shot-learning","datasets_with_task":"/datasets/task/few-shot-learning"}],"languages":[],"variants":["ExVo2022"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}