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 31–40 of 194 papers

Title	Date	Tasks	Status	Hype	Score
Couple Learning for semi-supervised sound event detection	Oct 12, 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
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection	Nov 2, 2024	Audio Source SeparationEvent Detection	CodeCode Available	1	5
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions	Oct 8, 2021	Sound Event Detection	CodeCode Available	1	5
A dataset for Audio-Visual Sound Event Detection in Movies	Feb 14, 2023	Event DetectionSelf-Driving Cars	CodeCode Available	1	5
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	5
Effective Pre-Training of Audio Transformers for Sound Event Detection	Sep 14, 2024	Data AugmentationEvent Detection	CodeCode Available	1	5
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	5
Post-Processing Independent Evaluation of Sound Event Detection Systems	Jun 27, 2023	Event DetectionSound Event 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

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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