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 81–90 of 194 papers

Title	Date	Tasks	Status	Hype
Multi-dimensional frequency dynamic convolution with confident mean teacher for sound event detection	Feb 18, 2023	Event DetectionSound Event Detection	—Unverified	0
LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy	Feb 18, 2023	Event DetectionMissing Elements	—Unverified	0
A dataset for Audio-Visual Sound Event Detection in Movies	Feb 14, 2023	Event DetectionSelf-Driving Cars	CodeCode Available	1
Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks	Jan 5, 2023	Event DetectionSound Event Detection	CodeCode Available	0
Impact of visual assistance for automated audio captioning	Nov 18, 2022	Audio captioningEvent Detection	—Unverified	0
Lightweight Sound Event Detection Model with RepVGG Architecture	Nov 1, 2022	Event DetectionKnowledge Distillation	—Unverified	0
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
A Hybrid System of Sound Event Detection Transformer and Frame-wise Model for DCASE 2022 Task 4	Oct 18, 2022	Event DetectionMetric Learning	CodeCode Available	1
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection	Oct 18, 2022	Event DetectionSound Event Detection	—Unverified	0
Multi-encoder attention-based architectures for sound recognition with partial visual assistance	Sep 26, 2022	Audio TaggingEvent 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