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 151–194 of 194 papers

TitleStatusHype
Sound Event Detection in Domestic Environments using Dense Recurrent Neural Network—0
Improving Sound Event Detection Metrics: Insights from DCASE 2020—0
Power pooling: An adaptive pooling function for weakly labelled sound event detection—0
Sound event detection via dilated convolutional recurrent neural networks—0
Conditioned Time-Dilated Convolutions for Sound Event Detection—0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
Memory Controlled Sequential Self Attention for Sound RecognitionCode0
Incremental Learning Algorithm for Sound Event Detection—0
Multi-Branch Learning for Weakly-Labeled Sound Event Detection—0
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models—0
A Sequence Matching Network for Polyphonic Sound Event Localization and Detection—0
Active Learning for Sound Event Detection—0
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms—0
Sound event detection in domestic environments withweakly labeled data and soundscape synthesisCode0
Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an ExampleCode0
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning—0
Guided Learning Convolution System for DCASE 2019 Task 4Code0
Audio-Based Epileptic Seizure Detection—0
Sound Event Detection in Multichannel Audio using Convolutional Time-Frequency-Channel Squeeze and Excitation—0
City classification from multiple real-world sound scenesCode0
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled SamplingCode0
Evaluation of post-processing algorithms for polyphonic sound event detectionCode0
Guided learning for weakly-labeled semi-supervised sound event detectionCode0
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event DetectionCode0
Robust sound event detection in bioacoustic sensor networksCode0
The NIGENS General Sound Events Database—0
Learning Sound Event Classifiers from Web Audio with Noisy LabelsCode0
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events—0
Learning Sound Events From Webly Labeled DataCode0
DASED: A Multi-Domain Dataset for Sound Event Detection Domain Adaptation—0
Polyphonic Sound Event Detection by using Capsule Neural NetworkCode0
Ubicoustics: Plug-and-Play Acoustic Activity RecognitionCode0
A Capsule based Approach for Polyphonic Sound Event Detection—0
End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input—0
Adaptive pooling operators for weakly labeled sound event detectionCode0
A Closer Look at Weak Label Learning for Audio EventsCode0
Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features—0
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results—0
Framework for evaluation of sound event detection in web videos—0
Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features—0
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural NetworkCode0
Convolutional Recurrent Neural Networks for Polyphonic Sound Event DetectionCode0
Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural NetworksCode0
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life RecordingsCode0
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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