{"url":"/dataset/rwcp-sound-scene-database","name":"RWCP Sound Scene Database","full_name":"RWCP Sound Scene Database","description_markdown":"The **RWCP Sound Scene Database** includes non-speech sounds recorded in an anechoic room, reconstructed signals in various rooms, impulse responses for a microphone array, speech data recorded with the same array, and recordings of background noises. It is intended for use when simulating sound scenes. It was developed by the Real Acoustic Environments Working Group of the Real World Computing Partnership (RWCP). The data was recorded from 1998 to 2000.","description_withheld":null,"homepage":"http://www.openslr.org/13/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Sound Event Localization and Detection","url":"/task/sound-event-localization-and-detection","datasets_with_task":"/datasets/task/sound-event-localization-and-detection"}],"languages":[],"variants":["RWCP Sound Scene Database"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/sound-event-localization-and-detection-on-3","task":"Sound Event Localization and Detection","dataset_variant":"RWCP Sound Scene Database","rows":1,"metrics":["accuracy"],"first_row_in_archive_order":{"model":"STL-SNN","paper":"/paper/a-synapse-threshold-synergistic-learning","metrics":{"accuracy":"98.4"},"code_links":[{"title":"sunhongze/STL-SNN","url":"https://github.com/sunhongze/STL-SNN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-synapse-threshold-synergistic-learning","title":"A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks","date":"2022-06-10","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."}