Visit the interactive guide below and watch the presentation to learn about our research.


May 1, 2025, University of North Dakota
VVPP II: Singing with AI Presentation


Virtual Voice Performance Project II: Singing with AI (VVPP II) advanced the exploration of digital tools in singing performance, building on the success of the initial project (VVPP I), which connected UND students and professional singers across states and continents. The first phase employed JackTrip to enable high-quality, real-time virtual rehearsals and performances. This next iteration further integrated artificial intelligence (AI) tools alongside online rehearsal and creative space, expanding the capabilities of virtual singing, mentorship, and research in digital performance.

This project phase’s primary goal was to equip students with innovative digital tools and research experience, enabling them to explore the possibilities of technology in singing. While every student worked with generative AI (ChatGPT), they were also encouraged to explore their unique skills and interests such as composition, vocal pedagogy, or creating synthesized voices. With faculty guidance, students pursued individual learning paths within the following broader goals:

  1. Voice as a Technological Instrument

  2. Creating Virtual Compositions

  3. AI-Enhanced Artistic Expression

Students selected AI tools aligned with their interests and formulated research questions to guide their work throughout the semester. They met weekly to engage in assignments designed to enhance their understanding of selected AI tools and virtual performance techniques. Beyond their roles as singers, they explored areas of personal interest, such as:

  • Using AI Music Apps for Composing and Songwriting

  • Voice Synthesis and Alteration via AI

  • Ethics of AI for the Voice and Artists

  • Developing a Guide for Performers and Pedagogues

The semester concluded with a demonstration (see video on this page) in which students presented their research findings using the tools they mastered. This capstone project showcased their exploration of AI-enhanced singing performance, songwriting, and education, offering insights into how singers can adapt to and shape the future of their craft in a digital context.