{"url":"/dataset/kinect-wsj","name":"Kinect-WSJ","full_name":null,"description_markdown":"Kinect-WSJ is a multichannel, multispeaker, reverberated, noisy dataset which extends the [WSJ0-2mix](/dataset/wsj0-2mix-1) singlechannel, non-reverberated, noiseless dataset to the strong reverberation and noise conditions and the Kinect-like microphone array geometry used in [CHiME-5](/dataset/chime-5).","description_withheld":null,"homepage":"https://github.com/sunits/Reverberated_WSJ_2MIX","introduced_date":"2019-10-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/analyzing-the-impact-of-speaker-localization","title":"Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition","first_author":null,"url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Audio Source Separation","url":"/task/audio-source-separation","datasets_with_task":"/datasets/task/audio-source-separation"}],"languages":[],"variants":["Kinect-WSJ"],"data_loaders":[{"repo":"https://github.com/sunits/Reverberated_WSJ_2MIX","url":"https://github.com/sunits/Reverberated_WSJ_2MIX","frameworks":[]}],"num_papers_in_archive":1,"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."}