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 81–90 of 194 papers

Title	Date	Tasks	Status
Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data	Jun 19, 2024	Event DetectionSound Event Detection	—Unverified
Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection	Nov 23, 2023	Event DetectionSound Event Detection	—Unverified
Incremental Learning Algorithm for Sound Event Detection	Mar 26, 2020	Event DetectionIncremental Learning	—Unverified
Improving Weakly Supervised Sound Event Detection with Causal Intervention	Mar 10, 2023	Event DetectionSound Event Detection	—Unverified
Auditory Neural Response Inspired Sound Event Detection Based on Spectro-temporal Receptive Field	Jun 20, 2023	Event DetectionSound Event Detection	—Unverified
Improving Sound Event Detection Metrics: Insights from DCASE 2020	Oct 26, 2020	Event DetectionSound Event Detection	—Unverified
DiffSED: Sound Event Detection with Denoising Diffusion	Aug 14, 2023	DecoderDenoising	—Unverified
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning	Jul 22, 2021	Data AugmentationEvent Detection	—Unverified
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection	Feb 17, 2021	Event DetectionFederated Learning	—Unverified
Audiovisual transfer learning for audio tagging and sound event detection	Jun 9, 2021	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