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 61–70 of 194 papers

Title	Date	Tasks	Status	Score
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection	Sep 16, 2023	Event DetectionFew-Shot Learning	CodeCode Available	5
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset	Nov 1, 2021	Event DetectionRetrieval	CodeCode Available	5
Polyphonic Sound Event Detection by using Capsule Neural Network	Oct 15, 2018	Event DetectionSound Event Detection	CodeCode Available	5
Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems	Oct 5, 2023	Event DetectionSound Event Detection	CodeCode Available	5
Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks	Jan 20, 2017	Binary ClassificationEvent Detection	CodeCode Available	5
Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks	Jan 5, 2023	Event DetectionSound Event Detection	CodeCode Available	5
Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example	Oct 20, 2019	Event DetectionInstrument Playing Technique Detection	CodeCode Available	5
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Memory Controlled Sequential Self Attention for Sound Recognition	May 13, 2020	Event DetectionSound Event Detection	CodeCode Available	5
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection	May 24, 2019	Event DetectionMulti-Label Classification	CodeCode Available	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