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Sound Event Detection
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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
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Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection
HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones
Improving Weakly Supervised Sound Event Detection with Causal Intervention
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer
Training sound event detection with soft labels from crowdsourced annotations
Multi-dimensional frequency dynamic convolution with confident mean teacher for sound event detection
LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy
A dataset for Audio-Visual Sound Event Detection in Movies
Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks
Impact of visual assistance for automated audio captioning
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors
A Hybrid System of Sound Event Detection Transformer and Frame-wise Model for DCASE 2022 Task 4
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection
Multi-encoder attention-based architectures for sound recognition with partial visual assistance
Impact of temporal resolution on convolutional recurrent networks for audio tagging and sound event detection
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
Few-shot bioacoustic event detection at the DCASE 2022 challenge
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers
Frequency Dependent Sound Event Detection for DCASE 2022 Challenge Task 4
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection
Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound Event Detection
Nonverbal Sound Detection for Disordered Speech
SEED: Sound Event Early Detection via Evidential Uncertainty
A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Threshold Independent Evaluation of Sound Event Detection Scores
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data
Effect of noise suppression losses on speech distortion and ASR performance
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset
RCT: Random Consistency Training for Semi-supervised Sound Event Detection
Couple Learning for semi-supervised sound event detection
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