{"url":"/task/a-vb-high","name":"A-VB High","slug":"a-vb-high","description_markdown":"The A-VB High track, explores a high-dimensional emotion space for understanding vocal bursts. Participants will be challenged with predicting the intensity of 10 emotions (Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness, and Surprise) associated with each vocal burst as a multi-output regression task. Participants will report the average Concordance Correlation Coefficient (CCC), as well as the Pearson correlation coefficient, across all 10 emotions. The baseline for this challenge will be based on CCC.","categories":[{"name":"Audio","url":"/area/audio"},{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Miscellaneous","url":"/area/miscellaneous"},{"name":"Natural Language Processing","url":"/area/natural-language-processing"},{"name":"Speech","url":"/area/speech"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":3,"papers_with_code":3,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/a-vb-high-on-hume-vb","slug":"a-vb-high-on-hume-vb","dataset":"HUME-VB","dataset_url":"/dataset/hume-vb","rows_in_archive":1,"metrics":["Concordance correlation coefficient (CCC)"],"first_row_in_archive_order":{"model":"w2v2-mtl-chain","paper_title":"A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition","paper_url":"/paper/a-hierarchical-regression-chain-framework-for","paper_date":"2023-03-14","arxiv_id":"2303.08027","code_links":[{"title":"JinchaoLove/AffectiveVocalBurstRecognition","url":"https://github.com/JinchaoLove/AffectiveVocalBurstRecognition"}],"syntology":null}}],"datasets":[{"url":"/dataset/hume-vb","name":"HUME-VB","full_name":"The Hume Vocal Bursts Dataset","num_papers_in_archive":3}],"subtasks":[],"parent_tasks":[{"url":"/task/emotion-recognition","name":"Emotion Recognition"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":3,"of":3,"tagged_in_all":3,"items":[{"url":"/paper/the-acii-2022-affective-vocal-bursts-workshop","title":"The ACII 2022 Affective Vocal Bursts Workshop & Competition: Understanding a critically understudied modality of emotional expression","date":"2022-07-07","arxiv_id":"2207.03572","repositories_listed":3,"syntology":null},{"url":"/paper/a-hierarchical-regression-chain-framework-for","title":"A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition","date":"2023-03-14","arxiv_id":"2303.08027","repositories_listed":1,"syntology":null},{"url":"/paper/self-relation-attention-and-temporal","title":"Self-Relation Attention and Temporal Awareness for Emotion Recognition via Vocal Burst","date":"2022-09-15","arxiv_id":"2209.07629","repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-25T09:33:49+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}