The creative process in music composition can present challenges for musicians, prompting the exploration of online tools to overcome these barriers. This project introduces ChordCraft, a software-based solution to assist musicians in generating chord progressions. By utilizing the JUCE C++ framework and a Hidden Markov Model, ChordCraft offers the ability to input a MIDI file and receive a corresponding MIDI chord progression. We employed quantitative evaluation metrics to assess the model’s performance, in addition to user studies to gather qualitative feedback. ChordCraft aims to enable musicians of all levels to compose, offering a toolset to encourage musical expression.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Desai, Sameer
• Whittaker, Ilana
• Kwee, Darren
• Kneeland, Thomas

Subject

• Project-Based Learning
• Computing
• Innovation

Publisher

• Worcester Polytechnic Institute

Identifier

• 119134
• E-project-032224-110729

Keyword

• JUCE
• music composition
• machine learning
• hidden markov model
• digital audio workstation
• vst

Advisor

• Roberts, Charles Davis
• Barton, Scott D

Year

• 2024

Date created

• 2024-03-22

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-032224-110729

Rights statement

• In Copyright