Michael I. 2024 | BASIS Independent Silicon Valley
- Project Title: Guitar Chord Recognition Using AI
- BASIS Independent Advisor: Naor Movshovitz
- Internship Location: Stanford University
- Onsite Mentor: Ivan Rentaria
My goal is to create a chord recognition program that will be able to take the input of an audio file of a played guitar and report back the chords being played. As AI is a rapidly advancing field, I will need to conduct research into the current state of chord recognition programs and get up to date on the field of AI and Music. / Then, I will need to find a comprehensive dataset with annotated audio files and preprocess that data to implement it in a model. I will use the CQT transformation to create spectrograms from the audio files and extract the time-aligned string-fret combinations from the same audio files and train my data using a CNN model. The accuracy of my program will be represented in a learning curve using a Google lab notebook. And after tuning my parameters and optimizing my model, I will present a finalized program that can detect the chord identities of inputted guitar audio files.