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 131–140 of 194 papers

Title	Date	Tasks	Status
Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound Event Detection	Mar 4, 2022	Event DetectionSound Event Detection	—Unverified
Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4	Jul 6, 2021	Event DetectionSound Event Detection	—Unverified
Semi-supervised Sound Event Detection with Local and Global Consistency Regularization	Sep 15, 2023	Event DetectionSound Event Detection	—Unverified
Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4	Jun 10, 2023	Event DetectionPseudo Label	—Unverified
Soft-Median Choice: An Automatic Feature Smoothing Method for Sound Event Detection	Nov 25, 2020	Event DetectionSound Event Detection	—Unverified
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform	Jun 13, 2021	Event DetectionSound Event Detection	—Unverified
Sound Event Detection and Localization with Distance Estimation	Mar 18, 2024	Event DetectionSound Event Detection	—Unverified
Sound event detection based on auxiliary decoder and maximum probability aggregation for DCASE Challenge 2024 Task 4	Jun 17, 2024	DecoderEvent Detection	—Unverified
Sound Event Detection in Domestic Environments using Dense Recurrent Neural Network	Nov 4, 2020	Data AugmentationEvent Detection	—Unverified
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features	Jun 7, 2017	Event DetectionSound Event Detection	—Unverified

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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