AudioSet
Canonical25papers using it
2021first seen
~2M 10-second YouTube clips labeled with 600+ audio-event classes.
Papers using AudioSet (25)
- Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation LearningAaSP: Aliasing-aware Self-Supervised Pre-Training for Audio Spectrogram TransformersSAM: A Mamba-2 State-Space Audio-Language ModelAudioMAE++: learning better masked audio representations with SwiGLU FFNsSelf-supervised learning method using multiple sampling strategies for general-purpose audio representationSoloAudio: Target Sound Extraction with Language-oriented Audio
Diffusion TransformerMultiscale Audio Spectrogram Transformer for Efficient Audio
ClassificationAudio Mamba: Selective State Spaces for Self-Supervised Audio
RepresentationsCMKD: CNN/Transformer-Based Cross-Model Knowledge Distillation for Audio
ClassificationEfficient Training of Audio Transformers with PatchoutSSAST: Self-Supervised Audio Spectrogram TransformerEfficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge
DistillationHTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound
Classification and DetectionMasked Spectrogram Prediction For Self-Supervised Audio Pre-TrainingAudio Language Modeling using Perceptually-Guided Discrete
RepresentationsDynamic Convolutional Neural Networks as Efficient Pre-trained Audio
ModelsEnhancing Zero-shot Audio Classification using Sound Attribute Knowledge
from Large Language ModelsStudy of positional encoding approaches for Audio Spectrogram
TransformersConformer-Based Self-Supervised Learning for Non-Speech Audio TasksDECAR: Deep Clustering for learning general-purpose Audio
RepresentationsAST-SED: An Effective Sound Event Detection Method Based on Audio
Spectrogram TransformerImproving Self-Supervised Learning for Audio Representations by Feature
Diversity and DecorrelationStreaming Audio Transformers for Online Audio TaggingEfficient Autoregressive Audio Modeling via Next-Scale PredictionAxLSTMs: learning self-supervised audio representations with xLSTMs