{"url":"/dataset/tau-spatial-sound-events-2019","name":"TAU Spatial Sound Events 2019","full_name":null,"description_markdown":"TAU Spatial Sound Events 2019 consists of 2 datasets: Ambisonic (FOA) and Microphone Array (MIC), of identical sound scenes with the only difference in the format of the audio. The FOA dataset provides four-channel First-Order Ambisonic recordings while the MIC dataset provides four-channel directional microphone recordings from a tetrahedral array configuration. Both formats are extracted from the same microphone array.\r\n\r\nBoth the datasets, consists of a development and evaluation set. The development set consists of 400 one-minute long recordings sampled at 48000 Hz, divided into four cross-validation splits of 100 recordings each. The evaluation set consists of 100 one-minute long recordings. These recordings were synthesized using spatial room impulse response (IRs) collected from five indoor environments, at 504 unique combinations of azimuth-elevation-distance.","description_withheld":null,"homepage":"https://zenodo.org/record/2580091","introduced_date":"2019-05-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/190508546","title":"A multi-room reverberant dataset for sound event localization and detection","first_author":null,"url":null},"license":{"name":"Custom (non-commercial)","url":null},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[],"variants":["TAU Spatial Sound Events 2019"],"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":"2026-09-25T09:33:49+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."}