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Project

PAT 464/564: Generative AI for Music and Audio Creation (Winter 2026)

Project Pitch in Class on Mar 18
Presentation in Class on Apr 20
Report Due at 11:59pm ET on Apr 27

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Instructions

• Provide proper citations/references for any external resources you use in your writing and code.
• Submit your work to Gradescope.
• All assignments are due at 11:59pm ET on the date specified.
• No late submissions! Submit your work early and update it later.

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Topic

This is an open-ended project. You may work on one of the following topics:

• Building a new AI music tool
• Exploring creative & artistic use of AI music tools
• Analyzing systematically existing AI music tools

In addition, you are encouraged to explore one of the following themed topics:

• Participating in the Academic Text-to-Music Challenge: Preprocessed datasets and baseline models will be provided (register for access!)
• Exploring local AI applications using Jetson Nano: A Jetson Nano can be requested (let me know ASAP!)

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Project Pitch

Please give a 5-min pitch on:

• Topic: What do you want to work on?
• Topic: Who are the target audience/users/customers/readers?
• Goals: What are your goals?
• Methodology: How are you going to approach it?
• Methodology: What are the tools (programming languages, platforms, plugins, hardware, etc.) that you’ll be using?
• Expected results: What are the expected deliverables (e.g., an instrument, a plugin, a web/mobile app, a standalone software, an installation, a performance, a composition)?
• Planning: What are the timeline & milestones?

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Presentation

Please give a 5-min presentation that summarizes your motivations, methods, results, analysis, and discussions. You may follow any structure that best suits your narrative.

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Report

Please turn in a 3 to 4-page (excluding references) report that summarizes your motivations, methods, results, analysis, and discussions. You may use any template for your report.

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Rubrics

• Presentation (20pt)
  • Attendance (10pt)
  • Clarity (5pt)
  • Organization & presentation (5pt)
• Report (20pt)
  • Writing clarity (5pt)
  • Organization & presentation (5pt)
  • Results (5pt)
  • Discussion (5pt)

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Compute

Follow the instructions to learn how to access Great Lakes. You will be provided with ~560 GPU hours for assignments and final project.

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Suggestions & Tips

• An active GitHub repository with many open/closed issues is usually a good sign.
• Always look for backup codebase so that you have a plan B. Any online repository is not guaranteed to work.
• If you plan to train or finetune something, think about the “data & model” at the same time. You will need the right dataset and the right model to succeed.

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