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

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Showing 101–150 of 194 papers

TitleStatusHype
Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals—0
FMSG-JLESS Submission for DCASE 2024 Task4 on Sound Event Detection with Heterogeneous Training Dataset and Potentially Missing Labels—0
Formula-Supervised Sound Event Detection: Pre-Training Without Real Data—0
Framework for evaluation of sound event detection in web videos—0
Frequency Dynamic Convolutions for Sound Event Detection—0
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems—0
Leveraging Language Model Capabilities for Sound Event Detection—0
HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones—0
Impact of Noisy Labels on Sound Event Detection: Deletion Errors Are More Detrimental Than Insertion Errors—0
Impact of temporal resolution on convolutional recurrent networks for audio tagging and sound event detection—0
Impact of visual assistance for automated audio captioning—0
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning—0
Improving Sound Event Detection Metrics: Insights from DCASE 2020—0
Improving Weakly Supervised Sound Event Detection with Causal Intervention—0
Incremental Learning Algorithm for Sound Event Detection—0
Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection—0
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations—0
Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions—0
Lightweight Sound Event Detection Model with RepVGG Architecture—0
Mixstyle based Domain Generalization for Sound Event Detection with Heterogeneous Training Data—0
Multi-Branch Learning for Weakly-Labeled Sound Event Detection—0
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers—0
Pseudo Strong Labels from Frame-Level Predictions for Weakly Supervised Sound Event Detection—0
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events—0
RCRNN-based Sound Event Detection System with Specific Speech Resolution—0
LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy—0
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings—0
Robust detection of overlapping bioacoustic sound events—0
SEED: Sound Event Early Detection via Evidential Uncertainty—0
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation—0
Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound Event Detection—0
Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4—0
Semi-supervised Sound Event Detection with Local and Global Consistency Regularization—0
Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4—0
Soft-Median Choice: An Automatic Feature Smoothing Method for Sound Event Detection—0
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform—0
Sound Event Detection and Localization with Distance Estimation—0
Sound event detection based on auxiliary decoder and maximum probability aggregation for DCASE Challenge 2024 Task 4—0
Sound Event Detection in Domestic Environments using Dense Recurrent Neural Network—0
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features—0
Sound Event Detection in Multichannel Audio using Convolutional Time-Frequency-Channel Squeeze and Excitation—0
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results—0
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN—0
Sound event detection via dilated convolutional recurrent neural networks—0
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices—0
SwG-former: A Sliding-Window Graph Convolutional Network for Simultaneous Spatial-Temporal Information Extraction in Sound Event Localization and Detection—0
Synthetic data enables context-aware bioacoustic sound event detection—0
The NIGENS General Sound Events Database—0
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models—0
Towards Understanding of Frequency Dependence on Sound Event Detection—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