Multimodal Learning

How TransCRNN Combines Spectrograms and Acoustic Features to Classify Music — and What the Numbers Show

TransCRNN, a novel multimodal neural network, classifies music genres by effectively fusing Mel-spectrograms with handcrafted acoustic features. This combined approach significantly boosts accuracy, demonstrating the power of multimodal data fusion in music information retrieval.