{"url":"/dataset/libri-adapt","name":"Libri-Adapt","full_name":null,"description_markdown":"Libri-Adapt aims to support unsupervised domain adaptation research on speech recognition models.\r\n\r\nSource: [Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation](/paper/libri-adapt-a-new-speech-dataset-for)","description_withheld":null,"homepage":"https://github.com/akhilmathurs/libriadapt","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/libri-adapt-a-new-speech-dataset-for","title":"Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation","first_author":"Akhil Mathur","url":null},"license":null,"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Speech Recognition","url":"/task/speech-recognition","datasets_with_task":"/datasets/task/speech-recognition"},{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Unsupervised Domain Adaptation","url":"/task/unsupervised-domain-adaptation","datasets_with_task":"/datasets/task/unsupervised-domain-adaptation"},{"name":"Cross-environment ASR","url":"/task/cross-environment-asr","datasets_with_task":"/datasets/task/cross-environment-asr"},{"name":"Cross-device ASR","url":"/task/cross-device-asr","datasets_with_task":"/datasets/task/cross-device-asr"}],"languages":[],"variants":["Libri-Adapt"],"data_loaders":[{"repo":"https://github.com/akhilmathurs/libriadapt","url":"https://github.com/akhilmathurs/libriadapt","frameworks":[]}],"num_papers_in_archive":5,"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."}