{"url":"/dataset/tau-nigens-spatial-sound-events-2021","name":"TAU-NIGENS Spatial Sound Events 2021","full_name":"TAU-NIGENS Spatial Sound Events 2021","description_markdown":"The TAU-NIGENS Spatial Sound Events 2021 dataset contains multiple spatial sound-scene recordings, consisting of sound events of distinct categories integrated into a variety of acoustical spaces, and from multiple source directions and distances as seen from the recording position. The spatialization of all sound events is based on filtering through real spatial room impulse responses (RIRs), captured in multiple rooms of various shapes, sizes, and acoustical absorption properties. Furthermore, each scene recording is delivered in two spatial recording formats, a microphone array one (MIC), and first-order Ambisonics one (FOA). The sound events are spatialized as either stationary sound sources in the room, or moving sound sources, in which case time-variant RIRs are used. Each sound event in the sound scene is associated with a single direction-of-arrival (DoA) if static, a trajectory DoAs if moving, and a temporal onset and offset time. The isolated sound event recordings used for the synthesis of the sound scenes are obtained from the NIGENS general sound events database. These recordings serve as the development dataset for the DCASE 2021 Sound Event Localization and Detection Task of the DCASE 2021 Challenge.","description_withheld":null,"homepage":"https://zenodo.org/record/4844825#.YNv3h-gzZPY","introduced_date":"2021-02-28","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Audio Classification","url":"/task/audio-classification","datasets_with_task":"/datasets/task/audio-classification"},{"name":"Sound Event Detection","url":"/task/sound-event-detection","datasets_with_task":"/datasets/task/sound-event-detection"},{"name":"Sound Event Localization and Detection","url":"/task/sound-event-localization-and-detection","datasets_with_task":"/datasets/task/sound-event-localization-and-detection"},{"name":"Direction of Arrival Estimation","url":"/task/direction-of-arrival-estimation","datasets_with_task":"/datasets/task/direction-of-arrival-estimation"}],"languages":[],"variants":["TAU Spatial Sound Events 2019","TAU-NIGENS Spatial Sound Events 2021","TAU-NIGENS Spatial Sound Events 2020"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sound-event-localization-and-detection-on-tau-1","task":"Sound Event Localization and Detection","dataset_variant":"TAU-NIGENS Spatial Sound Events 2021","rows":1,"metrics":["ER≤20°","F1≤20°","LE-CD","LR-CD"],"first_row_in_archive_order":{"model":"SALSA-FOA","paper":"/paper/salsa-spatial-cue-augmented-log-spectrogram","metrics":{"ER≤20°":"0.376","F1≤20°":"0.744","LE-CD":"11.1","LR-CD":"0.722"},"code_links":[{"title":"thomeou/SALSA","url":"https://github.com/thomeou/SALSA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/salsa-spatial-cue-augmented-log-spectrogram","title":"SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection","date":"2021-10-01","rows_on_this_dataset":1,"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."}