{"url":"/dataset/dnr-nonverbal","name":"DnR-nonverbal","full_name":null,"description_markdown":"DnR-nonverbal is a dataset for cinematic audio source separation (CASS) based on Divide and Remaster (DnR) dataset.\r\n\r\nUnlike conventional datasets, our dataset contains non-verbal sounds such as laughter and screaming, just like actual movie audio. Our dataset enables CASS models to allocate non-verbal sounds to the same stem as speech. Examples of clips and separation results are available at https://tky823.github.io/hasumi2025dnr.github.io/","description_withheld":null,"homepage":"https://zenodo.org/records/15470640","introduced_date":"2025-05-20","introduced_date_note":null,"introduced_by":{"paper":null,"title":"DnR-nonverbal: Cinematic Audio Source Separation Dataset Containing Non-Verbal Sounds","first_author":null,"url":null},"license":{"name":"CC-BY-SA","url":null},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DnR-nonverbal"],"data_loaders":[],"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."}