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

Showing 151175 of 194 papers

TitleStatusHype
Training sound event detection with soft labels from crowdsourced annotations0
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection0
Uncertainty quantification for multiclass data description0
Unified Audio Event Detection0
USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios0
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning0
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes0
Power pooling: An adaptive pooling function for weakly labelled sound event detection0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ATST-SEDevent-based F1 score63.4Unverified
2SE-CRNN-16 with DualKDevent-based F1 score55.6Unverified
3FDY-CRNNevent-based F1 score54Unverified
4HTS-ATevent-based F1 score50.7Unverified
5RCTevent-based F1 score49.62Unverified
6FiltAug SEDevent-based F1 score49.6Unverified
7SED-SSep baseline dcase task 4 2020 v2event-based F1 score40.7Unverified
8Baseline dcase task 4 2020 v2event-based F1 score39Unverified
9Baselineevent-based F1 score25.8Unverified
10MAT-SEDPSDS10.59Unverified
#ModelMetricClaimedVerifiedStatus
1PHC SEDnet n=8Error Rate0.56Unverified
2Quaternion SEDnetError Rate0.52Unverified
3PHC SEDnet n=16Error Rate0.51Unverified
4PHC SEDnet n=4Error Rate0.45Unverified
5PHC SEDnet n=2Error Rate0.39Unverified
#ModelMetricClaimedVerifiedStatus
1CRNN (with BEATs + Separation)PSDS1 (-5dB)0.13Unverified
2CRNN (with BEATs)PSDS1 (-5dB)0.07Unverified
3CRNN (WildDESED + Curriculrm learning)PSDS1 (-5dB)0.05Unverified
4CRNN (WildDESED)PSDS1 (-5dB)0.05Unverified
5CRNNPSDS1 (-5dB)0.02Unverified
#ModelMetricClaimedVerifiedStatus
1DENetRank-1 Recognition Rate0.98Unverified
#ModelMetricClaimedVerifiedStatus
1DENetRank-1 Recognition Rate1Unverified