Calendar

Introduction

Jan 4
Intro to the course

Topic 1 - Music Performance Analysis

Jan 9-11
Root paper

Topic 2 - Optical Music Recognition

Jan 16-18
Root paper

Project Presentation 1

Jan 23
Approximately half of the groups, chosen randomly in real time
Jan 25
The other half

Topic 3 - Synchronization

Jan 30-Feb 1
Root paper (this is a book chapter with Python notebooks); suggested papers in no particular order: 1, 2, 3, 4, 5, 6. This survey might be useful (there’s a big table in it that’s worth a look, at least).

Topic 4 - Source Separation

Feb 6-8
Root paper. For this topic, we view source separation as a good jumping off point, but it’s fine to branch out to papers about using AI in other steps in music production steps of editing, mixing, and processing recorded musical sounds.

Project Presentation 2

Feb 13
Approximately half of the groups, chosen randomly in real time
Feb 15
The other half

Topic 5 - Music Generation

Feb 20-22
Root paper

Topic 6 - Ethical Dimensions

Feb 27-29
Root paper

Final Project Presentation

Mar 5
Approximately half of the groups, chosen randomly in real time
Mar 7
The other half