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Application for Community GPU Grant – Music Emotion Recognition Project
Dear Hugging Face Team,
We are thrilled to introduce the demo for our latest research paper, “Towards Unified Music Emotion Recognition across Dimensional and Categorical Models,” which has been submitted to IJCNN 2025.
As we strive to push the boundaries of AI-driven music emotion recognition, we believe that the support of the Hugging Face community would be invaluable in enabling ZeroGPU for our project. A GPU grant would significantly enhance our ability to develop and refine our Music-to-Emotion toolbox, allowing us to conduct more efficient model training, inference, and fine-tuning. This would not only improve the performance and accessibility of our system but also contribute meaningfully to the broader fields of artificial intelligence and music information retrieval (MIR).
We deeply appreciate your time and consideration of our request, and we look forward to the opportunity to collaborate with Hugging Face in advancing open and impactful AI research.
For reference, here are links to our work:
📄 Paper: https://arxiv.org/abs/2502.03979
💻 GitHub: https://github.com/AMAAI-Lab/Music2Emotion
Thank you again for your support and for fostering an inspiring ecosystem for AI research and development.
Sincerely,
Jaeyong Kang