{"url":"/dataset/speech-accent-archive","name":"Speech Accent Archive","full_name":"The Speech Accent Archive","description_markdown":"The speech accent archive uniformly presents a large set of speech samples from a variety of language backgrounds. Native and non-native speakers of English read the same paragraph and are carefully transcribed. The archive is used by people who wish to compare and analyze the accents of different English speakers.","description_withheld":null,"homepage":"https://accent.gmu.edu/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Few-Shot Audio Classification","url":"/task/few-shot-audio-classification","datasets_with_task":"/datasets/task/few-shot-audio-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Speech Accent Archive"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/few-shot-audio-classification-on-speech-1","task":"Few-Shot Audio Classification","dataset_variant":"Speech Accent Archive","rows":3,"metrics":["Top-1 Accuracy(5-Way-1-Shot)"],"first_row_in_archive_order":{"model":"MT-SLVR (SimCLR + MLAP) w/ Parallel Adapters (FSD50K, RN18)","paper":"/paper/mt-slvr-multi-task-self-supervised-learning","metrics":{"Top-1 Accuracy(5-Way-1-Shot)":"28.92±0.37"},"code_links":[{"title":"cheggan/mt-slvr","url":"https://github.com/cheggan/mt-slvr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mt-slvr-multi-task-self-supervised-learning","title":"MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations","date":"2023-05-29","rows_on_this_dataset":3,"code_links":1,"syntology":null}],"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."}