🎵 Music Genre Classification using AST

📌 Model Overview

• blues, classical, country, disco, hiphop
• jazz, metal, pop, reggae, rock

🧠 Architecture

• Base Model: MIT/ast-finetuned-audioset
• Type: Transformer (Audio Spectrogram Transformer)
• Framework: PyTorch + Hugging Face Transformers

🎯 Task

📊 Dataset

• Training Data: Clean instrument stems (drums, vocals, bass, others)
• Test Data: Noisy mashups with:
  • cross-song mixing
  • tempo variation
  • ESC-50 noise injection

⚙️ Preprocessing

• Sampling rate: 16kHz
• Fixed duration: 15 seconds
• Padding / truncation applied
• Feature extraction using ASTFeatureExtractor

📈 Performance

• Metric: Macro F1 Score
• Achieved: 0.87

🔗 Live Demo

🚀 Usage