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 141–150 of 194 papers

Title	Date	Tasks	Status	Hype
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN	Feb 6, 2021	Event DetectionSound Event Detection	—Unverified	0
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices	Jan 12, 2021	Event DetectionObject Recognition	—Unverified	0
DENet: a deep architecture for audio surveillance applications	Jan 11, 2021	DenoisingSound Event Detection	CodeCode Available	1
Soft-Median Choice: An Automatic Feature Smoothing Method for Sound Event Detection	Nov 25, 2020	Event DetectionSound Event Detection	—Unverified	0
Sound Event Detection in Domestic Environments using Dense Recurrent Neural Network	Nov 4, 2020	Data AugmentationEvent Detection	—Unverified	0
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection	Oct 29, 2020	Event DetectionSound Event Detection	CodeCode Available	1
Improving Sound Event Detection Metrics: Insights from DCASE 2020	Oct 26, 2020	Event DetectionSound Event Detection	—Unverified	0
Power pooling: An adaptive pooling function for weakly labelled sound event detection	Oct 20, 2020	Event DetectionMultiple Instance Learning	—Unverified	0
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
Multi-Task Learning for Interpretable Weakly Labelled Sound Event Detection	Aug 17, 2020	Event DetectionMultiple Instance Learning	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