Music Emotion Prediction using Recurrent Neural Networks
Published in arXiv Preprint, 2024
This work explores RNN-based models for music emotion recognition, comparing RNN, BRNN, and LSTM architectures with traditional classifiers. Data augmentation significantly improved model performance, highlighting the potential for personalized music recommendation and therapy systems.
Recommended citation: Chang, X., Zhang, X., **Zhang, H.**, & Ran, Y. (2024). "Music Emotion Prediction using Recurrent Neural Networks." arXiv:2405.06747.
Download Paper | Download Bibtex