{"url":"/dataset/hume-vb","name":"HUME-VB","full_name":"The Hume Vocal Bursts Dataset","description_markdown":"The Hume Vocal Burst Database (H-VB) includes all train, validation, and test recordings and corresponding emotion ratings for the train and validation recordings.\r\n\r\nThis dataset contains 59,201 audio recordings of vocal bursts from 1,702 speakers, from 4 cultures—the U.S, South Africa, China, and Venezuela—ranging in age from 20 to 39.5 years old. The duration of data in this version of H-VB is 36 Hours  (Mean: 02.23  sec). The emotion ratings correspond to ten emotion concepts, listed below, and averaged 0-100 intensities for each emotion concept, with each sample having been rated by an average of 85.2 raters.\r\n\r\nEmotion Labels:  Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness, Surprise.","description_withheld":null,"homepage":"https://www.competitions.hume.ai/avb2022","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Audio Classification","url":"/task/audio-classification","datasets_with_task":"/datasets/task/audio-classification"},{"name":"Cultural Vocal Bursts Intensity Prediction","url":"/task/culture","datasets_with_task":"/datasets/task/culture"},{"name":"Vocal Bursts Intensity Prediction","url":"/task/high","datasets_with_task":"/datasets/task/high"},{"name":"Vocal Bursts Valence Prediction","url":"/task/two","datasets_with_task":"/datasets/task/two"},{"name":"Vocal Bursts Type Prediction","url":"/task/type","datasets_with_task":"/datasets/task/type"},{"name":"A-VB Two","url":"/task/a-vb-two","datasets_with_task":"/datasets/task/a-vb-two"},{"name":"A-VB High","url":"/task/a-vb-high","datasets_with_task":"/datasets/task/a-vb-high"},{"name":"A-VB Culture","url":"/task/a-vb-culture","datasets_with_task":"/datasets/task/a-vb-culture"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Spanish","url":"/datasets/language/spanish"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["HUME-VB"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/culture-on-hume-vb","task":"Cultural Vocal Bursts Intensity Prediction","dataset_variant":"HUME-VB","rows":2,"metrics":["Concordance correlation coefficient (CCC)"],"first_row_in_archive_order":{"model":"w2v2-mtl-chain","paper":"/paper/a-hierarchical-regression-chain-framework-for","metrics":{"Concordance correlation coefficient (CCC)":"0.6017"},"code_links":[{"title":"JinchaoLove/AffectiveVocalBurstRecognition","url":"https://github.com/JinchaoLove/AffectiveVocalBurstRecognition"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/high-on-hume-vb","task":"Vocal Bursts Intensity Prediction","dataset_variant":"HUME-VB","rows":2,"metrics":["Concordance correlation coefficient (CCC)"],"first_row_in_archive_order":{"model":"w2v2-mtl-chain","paper":"/paper/a-hierarchical-regression-chain-framework-for","metrics":{"Concordance correlation coefficient (CCC)":"0.7237"},"code_links":[{"title":"JinchaoLove/AffectiveVocalBurstRecognition","url":"https://github.com/JinchaoLove/AffectiveVocalBurstRecognition"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/two-on-hume-vb","task":"Vocal Bursts Valence Prediction","dataset_variant":"HUME-VB","rows":2,"metrics":["Concordance correlation coefficient (CCC)"],"first_row_in_archive_order":{"model":"w2v2-r-er","paper":"/paper/evaluating-variants-of-wav2vec-2-0-on","metrics":{"Concordance correlation coefficient (CCC)":"0.6290"},"code_links":[{"title":"bagustris/A-VB2022_CCC","url":"https://github.com/bagustris/A-VB2022_CCC"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/a-vb-culture-on-hume-vb","task":"A-VB Culture","dataset_variant":"HUME-VB","rows":1,"metrics":["Concordance correlation coefficient (CCC)"],"first_row_in_archive_order":{"model":"w2v2-mtl-chain","paper":"/paper/a-hierarchical-regression-chain-framework-for","metrics":{"Concordance correlation coefficient (CCC)":"0.6017"},"code_links":[{"title":"JinchaoLove/AffectiveVocalBurstRecognition","url":"https://github.com/JinchaoLove/AffectiveVocalBurstRecognition"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/a-vb-high-on-hume-vb","task":"A-VB High","dataset_variant":"HUME-VB","rows":1,"metrics":["Concordance correlation coefficient (CCC)"],"first_row_in_archive_order":{"model":"w2v2-mtl-chain","paper":"/paper/a-hierarchical-regression-chain-framework-for","metrics":{"Concordance correlation coefficient (CCC)":"0.7237"},"code_links":[{"title":"JinchaoLove/AffectiveVocalBurstRecognition","url":"https://github.com/JinchaoLove/AffectiveVocalBurstRecognition"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/a-vb-two-on-hume-vb","task":"A-VB Two","dataset_variant":"HUME-VB","rows":1,"metrics":["Concordance correlation coefficient (CCC)"],"first_row_in_archive_order":{"model":"w2v2-mtl-chain","paper":"/paper/a-hierarchical-regression-chain-framework-for","metrics":{"Concordance correlation coefficient (CCC)":"0.6854"},"code_links":[{"title":"JinchaoLove/AffectiveVocalBurstRecognition","url":"https://github.com/JinchaoLove/AffectiveVocalBurstRecognition"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/type-on-hume-vb","task":"Vocal Bursts Type Prediction","dataset_variant":"HUME-VB","rows":1,"metrics":["Average Recall"],"first_row_in_archive_order":{"model":"w2v2-r-er","paper":"/paper/evaluating-variants-of-wav2vec-2-0-on","metrics":{"Average Recall":"0.4902"},"code_links":[{"title":"bagustris/A-VB2022_CCC","url":"https://github.com/bagustris/A-VB2022_CCC"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/evaluating-variants-of-wav2vec-2-0-on","title":"Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst Tasks","date":"2023-05-05","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/a-hierarchical-regression-chain-framework-for","title":"A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition","date":"2023-03-14","rows_on_this_dataset":6,"code_links":1,"syntology":null}],"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."}