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 71–80 of 194 papers

Title	Date	Tasks	Status	Hype
A Multi-Task Learning Framework for Sound Event Detection using High-level Acoustic Characteristics of Sounds	May 18, 2023	Event DetectionMulti-Task Learning	—Unverified	0
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations	May 3, 2023	Event DetectionFew-Shot Learning	—Unverified	0
Adversarial Representation Learning for Robust Privacy Preservation in Audio	Apr 29, 2023	Event DetectionRepresentation Learning	CodeCode Available	0
Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions	Apr 25, 2023	Audio TaggingEvent Detection	—Unverified	0
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research	Mar 30, 2023	Audio captioningEvent Detection	CodeCode Available	2
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
HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones	Mar 13, 2023	Event DetectionSound Event Detection	—Unverified	0
Improving Weakly Supervised Sound Event Detection with Causal Intervention	Mar 10, 2023	Event DetectionSound Event Detection	—Unverified	0
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer	Mar 7, 2023	Audio TaggingDecoder	—Unverified	0
Training sound event detection with soft labels from crowdsourced annotations	Feb 28, 2023	Event DetectionSound Event 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