Guru Team Publishes New Research on AI Guitar Assistants in Frontiers in Computer Science

We’re excited to share that members of the Guru team—Chris Rhodes (CEO), Hongshuo Fan (CTO), and researcher Nico Garcia-Peguinho—have just published a new peer-reviewed paper in Frontiers in Computer Science. The paper, titled “Ground Truths: Challenges and Opportunities in Developing an AI Guitar Assistant,” explores how artificial intelligence can support people learning to play the guitar—particularly those who face physical or cognitive barriers to traditional instruction.

At Guru, our mission is to make high-quality music learning more accessible, intuitive, and inclusive. This paper lays out a roadmap for how AI systems can be designed to offer real-time feedback, adapt to a learner’s needs, and open up music education to a much wider audience.

The research outlines both the potential and the complexity of building AI tools that respond to the nuanced, embodied experience of playing an instrument. It covers a range of design challenges, including data collection, accessibility needs, sensor integration, and the importance of ground-truth feedback in shaping effective learning systems.

This work is part of the foundation for the tools we’re building at Guru—tools that aim not just to help people learn songs, but to develop deep musical understanding and expression through practice, feedback, and creativity.

You can read the full article here:

Ground Truths: Challenges and Opportunities in Developing an AI Guitar Assistant

We’re proud to be contributing to the conversation on AI and music education, and we’re just getting started. If you’re interested in collaborating, researching, or testing what we’re working on, get in touch.