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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 151–194 of 194 papers

TitleStatusHype
Training sound event detection with soft labels from crowdsourced annotations—0
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection—0
Uncertainty quantification for multiclass data description—0
Unified Audio Event Detection—0
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios—0
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning—0
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes—0
Power pooling: An adaptive pooling function for weakly labelled sound event detection—0
Polyphonic Sound Event Detection by using Capsule Neural NetworkCode0
Ubicoustics: Plug-and-Play Acoustic Activity RecognitionCode0
Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systemsCode0
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive LearningCode0
On Out-of-Distribution Detection for Audio with Deep Nearest NeighborsCode0
Guided learning for weakly-labeled semi-supervised sound event detectionCode0
Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an ExampleCode0
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event DetectionCode0
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural NetworkCode0
MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event DetectionCode0
Cross-Referencing Self-Training Network for Sound Event Detection in Audio MixturesCode0
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life RecordingsCode0
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound DetectionCode0
Memory Controlled Sequential Self Attention for Sound RecognitionCode0
Adversarial Representation Learning for Robust Privacy Preservation in AudioCode0
Guided Learning Convolution System for DCASE 2019 Task 4Code0
Robust sound event detection in bioacoustic sensor networksCode0
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and LocalizationCode0
Evaluation of post-processing algorithms for polyphonic sound event detectionCode0
Unsupervised Audio-Caption Aligning Learns Correspondences between Individual Sound Events and Textual PhrasesCode0
Learning Sound Events From Webly Labeled DataCode0
Adaptive pooling operators for weakly labeled sound event detectionCode0
Learning Sound Event Classifiers from Web Audio with Noisy LabelsCode0
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled SamplingCode0
Temporal Attention Pooling for Frequency Dynamic Convolution in Sound Event DetectionCode0
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe DatasetCode0
Convolutional Recurrent Neural Networks for Polyphonic Sound Event DetectionCode0
The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event DetectionCode0
Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural NetworksCode0
JiTTER: Jigsaw Temporal Transformer for Event Reconstruction for Self-Supervised Sound Event DetectionCode0
City classification from multiple real-world sound scenesCode0
Sound Event Detection: A TutorialCode0
Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event DetectionCode0
Sound event detection in domestic environments withweakly labeled data and soundscape synthesisCode0
A Closer Look at Weak Label Learning for Audio EventsCode0
Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural NetworksCode0
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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