{"url":"/dataset/tut-sound-events-2017","name":"TUT Sound Events 2017","full_name":"TUT Sound Events 2017","description_markdown":"The **TUT Sound Events 2017** dataset contains 24 audio recordings in a street environment and contains 6 different classes. These classes are: brakes squeaking, car, children, large vehicle, people speaking, and people walking.\n\nSource: [Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling](https://arxiv.org/abs/1907.08506)\nImage Source: [https://hal.inria.fr/hal-02067935/document](https://hal.inria.fr/hal-02067935/document)","description_withheld":null,"homepage":"https://zenodo.org/record/400516","introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"TUT database for acoustic scene classification and sound event detection","first_author":null,"url":"https://doi.org/10.1109/EUSIPCO.2016.7760424"},"license":{"name":"Other (Non-Commercial)","url":"https://zenodo.org/record/400516"},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"},{"name":"Sound Event Detection","url":"/task/sound-event-detection","datasets_with_task":"/datasets/task/sound-event-detection"}],"languages":[],"variants":["TUT Sound Events 2017"],"data_loaders":[],"num_papers_in_archive":8,"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."}