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
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification	Sep 13, 2022	Acoustic Scene ClassificationEvent Detection	—Unverified
Incremental Learning Algorithm for Sound Event Detection	Mar 26, 2020	Event DetectionIncremental Learning	—Unverified
BAT: Learning to Reason about Spatial Sounds with Large Language Models	Feb 2, 2024	Event DetectionLanguage Modelling	—Unverified
Effect of noise suppression losses on speech distortion and ASR performance	Nov 23, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Affinity Mixup for Weakly Supervised Sound Event Detection	Jun 21, 2021	Event DetectionSound Event Detection	—Unverified
Dual Knowledge Distillation for Efficient Sound Event Detection	Feb 5, 2024	Event DetectionKnowledge Distillation	—Unverified
Active Learning for Sound Event Detection	Feb 12, 2020	Active LearningChange Point Detection	—Unverified
Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection	Nov 23, 2023	Event DetectionSound Event Detection	—Unverified
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning	Jun 21, 2021	Event DetectionSound Event Detection	—Unverified
Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge	Jun 5, 2023	Event DetectionSound Event Detection	—Unverified

Show:10 25 50

← PrevPage 8 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