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 126–150 of 194 papers

TitleStatusHype
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes—0
Zero-shot Audio Source Separation through Query-based Learningfrom Weakly-labeled Data—0
Effect of noise suppression losses on speech distortion and ASR performance—0
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe DatasetCode0
Peer Collaborative Learning for Polyphonic Sound Event Detection—0
Unsupervised Audio-Caption Aligning Learns Correspondences between Individual Sound Events and Textual PhrasesCode0
RCRNN-based Sound Event Detection System with Specific Speech Resolution—0
Uncertainty quantification for multiclass data description—0
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers—0
Crowdsourcing strong labels for sound event detection—0
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning—0
Sound Event Detection: A TutorialCode0
Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4—0
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings—0
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning—0
Affinity Mixup for Weakly Supervised Sound Event Detection—0
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform—0
Audiovisual transfer learning for audio tagging and sound event detection—0
Cross-Referencing Self-Training Network for Sound Event Detection in Audio MixturesCode0
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios—0
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection—0
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms—0
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN—0
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices—0
Soft-Median Choice: An Automatic Feature Smoothing Method for Sound Event Detection—0
Show:102550
← PrevPage 6 of 8Next →
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