{"url":"/dataset/multisv","name":"MultiSV","full_name":null,"description_markdown":"**MultiSV** is a corpus designed for training and evaluating text-independent multi-channel speaker verification systems. It can be readily used also for experiments with dereverberation, denoising, and speech enhancement.","description_withheld":null,"homepage":"https://github.com/Lamomal/MultiSV","introduced_date":"2021-11-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/multisv-dataset-for-far-field-multi-channel","title":"MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification","first_author":"Ladislav Mošner","url":null},"license":null,"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[],"languages":[],"variants":["MultiSV"],"data_loaders":[],"num_papers_in_archive":2,"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."}