{"url":"/dataset/partialspoof","name":"PartialSpoof","full_name":null,"description_markdown":"PartialSpoof is a dataset of partially-spoofed data to evaluate detection of partially-spoofed speech data. It has been built based on the ASVspoof 2019 LA database since the latter covers 17 types of spoofed data produced by advanced speech synthesizers, voice converters, and hybrids. The authors used the same set of bona fide data from the ASVspoof 2019 LA database but created partially spoofed audio from the ASVspoof 2019 LA data.","description_withheld":null,"homepage":"https://nii-yamagishilab.github.io/zlin-demo/IS2021/index.html","introduced_date":"2021-04-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/an-initial-investigation-for-detecting","title":"An Initial Investigation for Detecting Partially Spoofed Audio","first_author":"Lin Zhang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Voice Anti-spoofing","url":"/task/voice-anti-spoofing","datasets_with_task":"/datasets/task/voice-anti-spoofing"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PartialSpoof"],"data_loaders":[],"num_papers_in_archive":17,"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."}