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 41–50 of 194 papers

Title	Date	Tasks	Status	Hype	Score
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection	Mar 11, 2021	Event DetectionSound Event Detection	CodeCode Available	1	5
Fine-tune the pretrained ATST model for sound event detection	Sep 15, 2023	Event DetectionSelf-Supervised Learning	CodeCode Available	1	5
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	5
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event Detection	Jun 8, 2024	Event DetectionSound Event Detection	CodeCode Available	1	5
Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection	Mar 29, 2022	Event DetectionSound Event Detection	CodeCode Available	1	5
Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detection	Jan 10, 2024	Event DetectionSound Event Detection	CodeCode Available	1	5
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection	Oct 29, 2020	Event DetectionSound Event Detection	CodeCode Available	1	5
Effective Pre-Training of Audio Transformers for Sound Event Detection	Sep 14, 2024	Data AugmentationEvent Detection	CodeCode Available	1	5
Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency Dynamic Convolution	Jun 19, 2024	Event DetectionSound Event Detection	CodeCode Available	1	5
Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks	Jun 7, 2023	Audio ClassificationAudio Tagging	CodeCode Available	1	5

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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