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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 41–50 of 194 papers

Title	Date	Tasks	Status	Hype
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection	Mar 27, 2024	Data AugmentationDomain Adaptation	CodeCode Available	2
Sound Event Detection and Localization with Distance Estimation	Mar 18, 2024	Event DetectionSound Event Detection	—Unverified	0
Multitask frame-level learning for few-shot sound event detection	Mar 17, 2024	Data AugmentationEvent Detection	—Unverified	0
Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals	Mar 16, 2024	Event DetectionFault Detection	—Unverified	0
Dual Knowledge Distillation for Efficient Sound Event Detection	Feb 5, 2024	Event DetectionKnowledge Distillation	—Unverified	0
BAT: Learning to Reason about Spatial Sounds with Large Language Models	Feb 2, 2024	Event DetectionLanguage Modelling	—Unverified	0
Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detection	Jan 10, 2024	Event DetectionSound Event Detection	CodeCode Available	1
Fusion of Audio and Visual Embeddings for Sound Event Localization and Detection	Dec 14, 2023	Data AugmentationEvent Detection	CodeCode Available	1
w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training	Dec 12, 2023	Event DetectionSound Event Detection	CodeCode Available	1
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models	Nov 24, 2023	Audio GenerationEvent Detection	—Unverified	0

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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