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 181–190 of 194 papers

Title	Date	Tasks	Status	Hype
Ubicoustics: Plug-and-Play Acoustic Activity Recognition	Oct 14, 2018	Activity RecognitionAudio Classification	CodeCode Available	0
A Capsule based Approach for Polyphonic Sound Event Detection	Jul 23, 2018	Event DetectionSound Event Detection	—Unverified	0
End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input	May 9, 2018	Event DetectionSound Event Detection	—Unverified	0
Adaptive pooling operators for weakly labeled sound event detection	Apr 26, 2018	Event DetectionMultiple Instance Learning	CodeCode Available	0
A Closer Look at Weak Label Learning for Audio Events	Apr 24, 2018	Audio ClassificationEvent Detection	CodeCode Available	0
Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features	Jan 29, 2018	Event DetectionSound Event Detection	—Unverified	0
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results	Nov 15, 2017	Event DetectionGeneral Classification	—Unverified	0
Framework for evaluation of sound event detection in web videos	Nov 2, 2017	Event DetectionSound Event Detection	—Unverified	0
Towards Deep Learning Models Resistant to Adversarial Attacks	Jun 19, 2017	Adversarial AttackAdversarial Defense	CodeCode Available	1
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network	Jun 7, 2017	Event DetectionSound Event Detection	CodeCode Available	0

Show:10 25 50

← PrevPage 19 of 20Next →

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