{"url":"/dataset/spatial-librispeech","name":"Spatial LibriSpeech","full_name":null,"description_markdown":"**Spatial LibriSpeech** is spatial audio dataset with over 650 hours of 19-channel audio, first-order ambisonics, and optional distractor noise. Spatial LibriSpeech is designed for machine learning model training, and it includes labels for source position, speaking direction, room acoustics and geometry.","description_withheld":null,"homepage":"https://github.com/apple/ml-spatial-librispeech","introduced_date":"2023-08-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/spatial-librispeech-an-augmented-dataset-for","title":"Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning","first_author":"Miguel Sarabia","url":null},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[],"variants":["Spatial LibriSpeech"],"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":"2026-09-24T18:15:14+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."}