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Audio Tagging
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Audio tagging is a task to predict the tags of audio clips. Audio tagging tasks include music tagging, acoustic scene classification, audio event classification, etc.
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USAD: Universal Speech and Audio Representation via Distillation
Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025
Baseline Systems and Evaluation Metrics for Spatial Semantic Segmentation of Sound Scenes
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
Hierarchical Label Propagation: A Model-Size-Dependent Performance Booster for AudioSet Tagging
Solla: Towards a Speech-Oriented LLM That Hears Acoustic Context
Exploring Performance-Complexity Trade-Offs in Sound Event Detection Models
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
Normalizing Energy Consumption for Hardware-Independent Evaluation
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems
A Framework for Synthetic Audio Conversations Generation using Large Language Models
Integrating IP Broadcasting with Audio Tags: Workflow and Challenges
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable Learners
Audio Mamba: Pretrained Audio State Space Model For Audio Tagging
Perceptual Musical Features for Interpretable Audio Tagging
ATGNN: Audio Tagging Graph Neural Network
Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models
Joint Music and Language Attention Models for Zero-shot Music Tagging
Audio classification with Dilated Convolution with Learnable Spacings
Killing two birds with one stone: Can an audio captioning system also be used for audio-text retrieval?
Audio Tagging on an Embedded Hardware Platform
Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks
Compressing audio CNNs with graph centrality based filter pruning
Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer
Incremental Learning of Acoustic Scenes and Sound Events
Zorro: the masked multimodal transformer
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks
Machine Learning-based Classification of Birds through Birdsong
Ontology-aware Learning and Evaluation for Audio Tagging
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