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 1–10 of 194 papers

Title	Date	Tasks	Status	Hype
Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event Detection	Sep 26, 2024	Event DetectionRepresentation Learning	CodeCode Available	2
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection	Feb 2, 2022	Audio ClassificationEvent Detection	CodeCode Available	2
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection	Mar 27, 2024	Data AugmentationDomain Adaptation	CodeCode Available	2
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research	Mar 30, 2023	Audio captioningEvent Detection	CodeCode Available	2
MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection	Aug 16, 2024	Event DetectionSound Event Detection	CodeCode Available	2
DENet: a deep architecture for audio surveillance applications	Jan 11, 2021	DenoisingSound Event Detection	CodeCode Available	1
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection	Oct 29, 2020	Event DetectionSound Event Detection	CodeCode Available	1
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event Detection	Jun 8, 2024	Event DetectionSound Event Detection	CodeCode Available	1
AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection	Mar 28, 2023	Direction of Arrival EstimationSound Event Detection	CodeCode Available	1
DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection	Jun 29, 2021	Audio ClassificationDirection of Arrival Estimation	CodeCode Available	1

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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