Music Genre Classification
A dual-branch deep learning architecture was designed for music genre classification. The first branch processes raw audio waveforms using 1D convolutional layers to extract temporal features, while the second branch processes Mel-spectrograms using 2D convolutional layers to capture spectral characteristics. The feature vectors from both branches are concatenated and passed through fully connected layers for final genre prediction.