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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
논문
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Sound Event Bounding Boxes
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
UniAV: Unified Audio-Visual Perception for Multi-Task Video Event Localization
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
Sound Event Detection and Localization with Distance Estimation
Multitask frame-level learning for few-shot sound event detection
Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals
Dual Knowledge Distillation for Efficient Sound Event Detection
BAT: Learning to Reason about Spatial Sounds with Large Language Models
Full-frequency dynamic convolution: a physical frequency-dependent convolution for sound event detection
Fusion of Audio and Visual Embeddings for Sound Event Localization and Detection
w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models
Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning
SwG-former: A Sliding-Window Graph Convolutional Network for Simultaneous Spatial-Temporal Information Extraction in Sound Event Localization and Detection
Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems
Evaluating Classification Systems Against Soft Labels with Fuzzy Precision and Recall
Online Active Learning For Sound Event Detection
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
Fine-tune the pretrained ATST model for sound event detection
Semi-supervised Sound Event Detection with Local and Global Consistency Regularization
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning
Leveraging Language Model Capabilities for Sound Event Detection
DiffSED: Sound Event Detection with Denoising Diffusion
Post-Processing Independent Evaluation of Sound Event Detection Systems
Auditory Neural Response Inspired Sound Event Detection Based on Spectro-temporal Receptive Field
Channel-Spatial-Based Few-Shot Bird Sound Event Detection
Few-shot bioacoustic event detection at the DCASE 2023 challenge
Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4
Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge
A Multi-Task Learning Framework for Sound Event Detection using High-level Acoustic Characteristics of Sounds
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations
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