{"url":"/dataset/tragic-talkers","name":"Tragic Talkers","full_name":null,"description_markdown":"**Tragic Talkers** is an audio-visual dataset consisting of excerpts from the \"Romeo and Juliet\" drama captured with microphone arrays and multiple co-located cameras for light-field video. Tragic Talkers provides ideal content for object-based media (OBM) production. It is designed to cover various conventional talking scenarios, such as monologues, two-people conversations, and interactions with considerable movement and occlusion, yielding 30 sequences captured from a total of 22 different points of view and two 16-element microphone arrays.\r\n\r\nSource: [Tragic Talkers: A Shakespearean Sound- and Light-Field Dataset for Audio-Visual Machine Learning Research](https://arxiv.org/pdf/2212.01892v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2212.01892v1.pdf](https://arxiv.org/pdf/2212.01892v1.pdf)","description_withheld":null,"homepage":"https://cvssp.org/data/TragicTalkers/","introduced_date":"2022-12-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/tragic-talkers-a-shakespearean-sound-and","title":"Tragic Talkers: A Shakespearean Sound- and Light-Field Dataset for Audio-Visual Machine Learning Research","first_author":"Davide Berghi","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Active Speaker Localization","url":"/task/active-speaker-localization","datasets_with_task":"/datasets/task/active-speaker-localization"}],"languages":[],"variants":["Tragic Talkers"],"data_loaders":[],"num_papers_in_archive":3,"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."}