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license: mit
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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.