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 61–70 of 194 papers

Title	Date	Tasks	Status
Formula-Supervised Sound Event Detection: Pre-Training Without Real Data	Apr 6, 2025	Event DetectionSound Event Detection	—Unverified
Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning	Mar 4, 2025	Active LearningEvent Detection	—Unverified
Robust detection of overlapping bioacoustic sound events	Mar 4, 2025	Event DetectionGraph Matching	—Unverified
Synthetic data enables context-aware bioacoustic sound event detection	Mar 1, 2025	Event DetectionIn-Context Learning	—Unverified
JiTTER: Jigsaw Temporal Transformer for Event Reconstruction for Self-Supervised Sound Event Detection	Feb 28, 2025	Boundary DetectionEvent Detection	CodeCode Available
Towards Understanding of Frequency Dependence on Sound Event Detection	Feb 11, 2025	Data AugmentationEvent Detection	—Unverified
An Experimental Study on Joint Modeling for Sound Event Localization and Detection with Source Distance Estimation	Jan 18, 2025	Event DetectionSound Event Detection	—Unverified
Pseudo Strong Labels from Frame-Level Predictions for Weakly Supervised Sound Event Detection	Jan 7, 2025	Event DetectionSound Event Detection	—Unverified
The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection	Sep 17, 2024	BenchmarkingEvent Detection	CodeCode Available
Energy Consumption Trends in Sound Event Detection Systems	Sep 13, 2024	Event DetectionSound Event 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