Sound Event Detection

Sound Event Detection (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other. Recognizing such overlapping sound events is referred as polyphonic SED.

Source: A report on sound event detection with different binaural features

Papers

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Showing 101–110 of 194 papers

Title	Date	Tasks	Status
Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals	Mar 16, 2024	Event DetectionFault Detection	—Unverified
FMSG-JLESS Submission for DCASE 2024 Task4 on Sound Event Detection with Heterogeneous Training Dataset and Potentially Missing Labels	Jun 29, 2024	Domain GeneralizationEvent Detection	—Unverified
Formula-Supervised Sound Event Detection: Pre-Training Without Real Data	Apr 6, 2025	Event DetectionSound Event Detection	—Unverified
Framework for evaluation of sound event detection in web videos	Nov 2, 2017	Event DetectionSound Event Detection	—Unverified
Frequency Dynamic Convolutions for Sound Event Detection	Jun 15, 2025	ARCEvent Detection	—Unverified
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems	Sep 8, 2024	Audio TaggingEvent Detection	—Unverified
Leveraging Language Model Capabilities for Sound Event Detection	Aug 22, 2023	DecoderEvent Detection	—Unverified
HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones	Mar 13, 2023	Event DetectionSound Event Detection	—Unverified
Impact of Noisy Labels on Sound Event Detection: Deletion Errors Are More Detrimental Than Insertion Errors	Aug 27, 2024	Event DetectionSound Event Detection	—Unverified
Impact of temporal resolution on convolutional recurrent networks for audio tagging and sound event detection	Sep 26, 2022	Audio TaggingEvent Detection	—Unverified

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All datasets DESED L3DAS21 WildDESED Mivia Audio Events Mivia Road Events

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ATST-SED	event-based F1 score	63.4	—	Unverified
2	SE-CRNN-16 with DualKD	event-based F1 score	55.6	—	Unverified
3	FDY-CRNN	event-based F1 score	54	—	Unverified
4	HTS-AT	event-based F1 score	50.7	—	Unverified
5	RCT	event-based F1 score	49.62	—	Unverified
6	FiltAug SED	event-based F1 score	49.6	—	Unverified
7	SED-SSep baseline dcase task 4 2020 v2	event-based F1 score	40.7	—	Unverified
8	Baseline dcase task 4 2020 v2	event-based F1 score	39	—	Unverified
9	Baseline	event-based F1 score	25.8	—	Unverified
10	MAT-SED	PSDS1	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PHC SEDnet n=8	Error Rate	0.56	—	Unverified
2	Quaternion SEDnet	Error Rate	0.52	—	Unverified
3	PHC SEDnet n=16	Error Rate	0.51	—	Unverified
4	PHC SEDnet n=4	Error Rate	0.45	—	Unverified
5	PHC SEDnet n=2	Error Rate	0.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CRNN (with BEATs + Separation)	PSDS1 (-5dB)	0.13	—	Unverified
2	CRNN (with BEATs)	PSDS1 (-5dB)	0.07	—	Unverified
3	CRNN (WildDESED + Curriculrm learning)	PSDS1 (-5dB)	0.05	—	Unverified
4	CRNN (WildDESED)	PSDS1 (-5dB)	0.05	—	Unverified
5	CRNN	PSDS1 (-5dB)	0.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DENet	Rank-1 Recognition Rate	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DENet	Rank-1 Recognition Rate	1	—	Unverified