Advancing AI Through Music, Neural Networks, and Fuzzy Logic

Welcome to the Rebecca Lin AI Lab at Feng Chia University. We are a research laboratory dedicated to pushing the boundaries of artificial intelligence, with a particular focus on music generation, neural network architectures, fuzzy logic systems, and deep learning applications.

Our Research Focus

We explore cutting-edge AI technologies across multiple domains:

• Music & Audio AI: Generation, classification, and semantic understanding of music through neural networks
• Deep Learning: Advanced neural network architectures including GANs, GRUs, and transformer models
• Fuzzy Logic Systems: Uncertainty handling and decision-making in AI systems
• Image Analysis: Computer vision applications for multimedia understanding
• Recommender Systems: Personalized content recommendation algorithms

Featured Projects

Our lab has contributed to significant research projects including:

• Muzic: Music understanding and generation with AI (492+ stars)
• BGT-G2G: Retaining semantics in image-to-music conversion (accepted at IEEE ISM 2022)
• Open NSynth Super: Experimental physical interface for NSynth algorithm
• Lyrics-Conditioned Neural Melody Generation: Generating melodies from lyrics
• Classical Piano Composer: AI-driven classical music composition

Open Source Philosophy

We believe in open science and making our research accessible to the global AI community. Most of our projects are open-source and available on GitHub under MIT and similar licenses.

Get Involved

• Students: We welcome motivated students interested in AI research
• Collaborators: Seeking research partnerships in music AI and neural networks
• Community: Join our open-source projects and discussions

Join us in shaping the future of artificial intelligence.