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 21–30 of 194 papers

Title	Date	Tasks	Status	Hype
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
FilterAugment: An Acoustic Environmental Data Augmentation Method	Oct 7, 2021	Data AugmentationEvent Detection	CodeCode Available	1
DENet: a deep architecture for audio surveillance applications	Jan 11, 2021	DenoisingSound Event Detection	CodeCode Available	1
DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and events	Sep 21, 2020	Acoustic Scene ClassificationAudio Tagging	CodeCode Available	1
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
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event Detection	Jun 8, 2024	Event DetectionSound Event Detection	CodeCode Available	1
Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training	Jul 17, 2024	Event DetectionMissing Labels	CodeCode Available	1
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection	Nov 2, 2024	Audio Source SeparationEvent Detection	CodeCode Available	1
Exploring Text-Queried Sound Event Detection with Audio Source Separation	Sep 20, 2024	Audio Source SeparationEvent Detection	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