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 111–120 of 194 papers

Title	Date	Tasks	Status
An Experimental Study on Joint Modeling for Sound Event Localization and Detection with Source Distance Estimation	Jan 18, 2025	Event DetectionSound Event Detection	—Unverified
A Sequence Matching Network for Polyphonic Sound Event Localization and Detection	Feb 14, 2020	Direction of Arrival EstimationEvent Detection	—Unverified
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer	Mar 7, 2023	Audio TaggingDecoder	—Unverified
Audio-Based Epileptic Seizure Detection	Sep 6, 2019	Event DetectionSeizure Detection	—Unverified
Audiovisual transfer learning for audio tagging and sound event detection	Jun 9, 2021	Audio TaggingEvent Detection	—Unverified
Auditory Neural Response Inspired Sound Event Detection Based on Spectro-temporal Receptive Field	Jun 20, 2023	Event DetectionSound Event Detection	—Unverified
Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data	Jun 19, 2024	Event DetectionSound Event Detection	—Unverified
BAT: Learning to Reason about Spatial Sounds with Large Language Models	Feb 2, 2024	Event DetectionLanguage Modelling	—Unverified
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification	Sep 13, 2022	Acoustic Scene ClassificationEvent Detection	—Unverified
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture	Jul 2, 2020	Acoustic Scene ClassificationEvent 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