SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 194 papers

TitleStatusHype
Frequency Dynamic Convolutions for Sound Event Detection—0
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event DetectionCode0
Exploring the Potential of SSL Models for Sound Event Detection—0
Temporal Attention Pooling for Frequency Dynamic Convolution in Sound Event DetectionCode0
Formula-Supervised Sound Event Detection: Pre-Training Without Real Data—0
Exploring Performance-Complexity Trade-Offs in Sound Event Detection ModelsCode1
Robust detection of overlapping bioacoustic sound events—0
Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning—0
Synthetic data enables context-aware bioacoustic sound event detection—0
JiTTER: Jigsaw Temporal Transformer for Event Reconstruction for Self-Supervised Sound Event DetectionCode0
Towards Understanding of Frequency Dependence on Sound Event Detection—0
An Experimental Study on Joint Modeling for Sound Event Localization and Detection with Source Distance Estimation—0
Pseudo Strong Labels from Frame-Level Predictions for Weakly Supervised Sound Event Detection—0
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event DetectionCode1
Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event DetectionCode2
Exploring Text-Queried Sound Event Detection with Audio Source SeparationCode1
The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event DetectionCode0
Effective Pre-Training of Audio Transformers for Sound Event DetectionCode1
Unified Audio Event Detection—0
Energy Consumption Trends in Sound Event Detection Systems—0
MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event DetectionCode0
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems—0
Impact of Noisy Labels on Sound Event Detection: Deletion Errors Are More Detrimental Than Insertion Errors—0
MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event DetectionCode2
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation—0
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All datasetsDESEDL3DAS21WildDESEDMivia Audio EventsMivia Road Events

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ATST-SEDevent-based F1 score63.4—Unverified
2SE-CRNN-16 with DualKDevent-based F1 score55.6—Unverified
3FDY-CRNNevent-based F1 score54—Unverified
4HTS-ATevent-based F1 score50.7—Unverified
5RCTevent-based F1 score49.62—Unverified
6FiltAug SEDevent-based F1 score49.6—Unverified
7SED-SSep baseline dcase task 4 2020 v2event-based F1 score40.7—Unverified
8Baseline dcase task 4 2020 v2event-based F1 score39—Unverified
9Baselineevent-based F1 score25.8—Unverified
10MAT-SEDPSDS10.59—Unverified
#ModelMetricClaimedVerifiedStatus
1PHC SEDnet n=8Error Rate0.56—Unverified
2Quaternion SEDnetError Rate0.52—Unverified
3PHC SEDnet n=16Error Rate0.51—Unverified
4PHC SEDnet n=4Error Rate0.45—Unverified
5PHC SEDnet n=2Error Rate0.39—Unverified
#ModelMetricClaimedVerifiedStatus
1CRNN (with BEATs + Separation)PSDS1 (-5dB)0.13—Unverified
2CRNN (with BEATs)PSDS1 (-5dB)0.07—Unverified
3CRNN (WildDESED + Curriculrm learning)PSDS1 (-5dB)0.05—Unverified
4CRNN (WildDESED)PSDS1 (-5dB)0.05—Unverified
5CRNNPSDS1 (-5dB)0.02—Unverified
#ModelMetricClaimedVerifiedStatus
1DENetRank-1 Recognition Rate0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1DENetRank-1 Recognition Rate1—Unverified