metadata
license: mit
A deep learning model for audio classification, designed to detect AI-generated music.
Model architecture : EfficientNetB0 (Transfer Learning)
Framework: TensorFlow / Keras
Task: Binary Classification (AI Music vs. Real Music)
Input: Mel Spectrograms (224x224) generated from audio files.
Training Data: Trained on a balanced dataset of thousands of modern songs from sources like the Free Music Archive, NCS, and the Suno AI dataset on Kaggle, all standardized to a consistent bitrate.