Datasets › DESED

DESED (Domestic environment sound event detection)

Introduced by Nicolas Turpault et al. in Sound event detection in domestic environments withweakly labeled data and soundscape synthesis26 Oct 2019 archive 2025-07-28

The DESED dataset is a dataset designed to recognize sound event classes in domestic environments. The dataset is designed to be used for sound event detection (SED, recognize events with their time boundaries) but it can also be used for sound event tagging (SET, indicate presence of an event in an audio file). The dataset is composed of 10 event classes to recognize in 10 second audio files. The classes are: Alarm/bell/ringing, Blender, Cat, Dog, Dishes, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner.

Source: https://project.inria.fr/desed/ Image Source: https://project.inria.fr/desed/

Homepage Benchmarks Papers JSON

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

		First row (archive order)	Paper	Code
Sound Event Detection	DESED	ATST-SED event-based F1 score 63.4	Fine-tune the pretrained ATST model for sound event detection	Audio-WestlakeU/ATST-SED	13	Compare

Papers archive 2025-07-28

12 shown of 12 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 17. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

			Date	Samples run Syntology
JiTTER: Jigsaw Temporal Transformer for Event Reconstruction for Self-Supervised Sound Event Detection	1	1	28 Feb 2025	not harvested
MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection	1	1	16 Aug 2024	not harvested
Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency Dynamic Convolution	1	2	19 Jun 2024	not harvested
Dual Knowledge Distillation for Efficient Sound Event Detection	0	1	5 Feb 2024	not harvested
Fine-tune the pretrained ATST model for sound event detection	1	1	15 Sep 2023	ran 10 of 10 samples (0 unverified)
Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection	1	1	29 Mar 2022	ran 0 of 11 samples (11 unverified)
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection	1	1	2 Feb 2022	ran 4 of 9 samples (5 unverified)
RCT: Random Consistency Training for Semi-supervised Sound Event Detection	2	1	21 Oct 2021	not harvested
Heavily Augmented Sound Event Detection utilizing Weak Predictions	1	1	8 Jul 2021	not harvested
Sound event detection in domestic environments withweakly labeled data and soundscape synthesis	1	1	26 Oct 2019	not harvested
Training Sound Event Detection On A Heterogeneous Dataset	1	1		not harvested
Improving Sound Event Detection In Domestic Environments Using Sound Separation	1	1		not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Sound Event Detection

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Audio

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

DESED

1 variant name, as the archive lists them.

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