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 125 of 194 papers

TitleStatusHype
Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event DetectionCode2
MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event DetectionCode2
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event DetectionCode2
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal ResearchCode2
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and DetectionCode2
Exploring Performance-Complexity Trade-Offs in Sound Event Detection ModelsCode1
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event DetectionCode1
Exploring Text-Queried Sound Event Detection with Audio Source SeparationCode1
Effective Pre-Training of Audio Transformers for Sound Event DetectionCode1
Multi-Iteration Multi-Stage Fine-Tuning of Transformers for Sound Event Detection with Heterogeneous DatasetsCode1
Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage TrainingCode1
WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection SystemCode1
Self Training and Ensembling Frequency Dependent Networks with Coarse Prediction Pooling and Sound Event Bounding BoxesCode1
Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency Dynamic ConvolutionCode1
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event DetectionCode1
Sound Event Bounding BoxesCode1
Revisiting Deep Audio-Text Retrieval Through the Lens of TransportationCode1
UniAV: Unified Audio-Visual Perception for Multi-Task Video Event LocalizationCode1
Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detectionCode1
Fusion of Audio and Visual Embeddings for Sound Event Localization and DetectionCode1
w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-TrainingCode1
Fine-tune the pretrained ATST model for sound event detectionCode1
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive LearningCode1
Post-Processing Independent Evaluation of Sound Event Detection SystemsCode1
Few-shot bioacoustic event detection at the DCASE 2023 challengeCode1
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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