| Instructor | Hao-Wen Dong (ude.hcimu@gnodwh) |
| Room | Moore 376 (Davis) or Zoom |
| Days & times | 9–10:30am, Mondays & Wednesdays |
| Office hours | By appointment |
An introduction to the emerging field of AI music. This course introduces students to AI’s applications in music from analysis, creation, retrieval to processing. Example topics include music transcription, optical music recognition, music source separation, automatic music composition, music synthesis, music recommendation and auto-mixing. Students will gain hands-on experience on using AI tools through open-ended assignments and a final project on a relevant topic of their choice. Prior coding experience is recommended.
| Content | Out | Due on | |
|---|---|---|---|
| Homework 1 | Real or fake!? | Jan 15 | Jan 22 |
| Homework 2 | Music & audio processing | Jan 31 | Feb 7 |
| Homework 3 | Musical note classification | Feb 5 | Feb 19 |
| Homework 4 | Source separation | Feb 21 | Feb 28 |
| Homework 5 | AI Song Contest | Feb 28 | Mar 14 |
| Homework 6 | Music Generation | Mar 28 | Apr 14 |
| Due on | |
|---|---|
| Group forming | Mar 12 |
| Pitch | Mar 19 |
| Presentation | Apr 21 |
| Report | Apr 28 |
All grading and regrade requests will be handled on Gradescope.
| Homework | 55% | Project | 45% |
|---|---|---|---|
| ├ Homework 1 | 5% | ├ Presentation | 15% |
| ├ Homework 2 | 10% | ├ Results | 15% |
| ├ Homework 3 | 15% | └ Report | 15% |
| ├ Homework 4 | 5% | ||
| ├ Homework 5 | 5% | ||
| └ Homework 6 | 10% |
The final grading scale is as follows.
| A+ | >96 | B+ | 87–89 | C+ | 77–79 | D+ | 67–69 | F | <60 |
| A | 93–96 | B | 83–86 | C | 73–76 | D | 63–66 | ||
| A− | 90–92 | B− | 80–82 | C− | 70–72 | D− | 60–62 |
There is no required reading. Here is some good optional reading:
The University of Michigan recognizes disability as an integral part of diversity and is committed to creating an inclusive and equitable educational environment for students with disabilities. Students who are experiencing a disability-related barrier should contact Services for Students with Disabilities ((734) 763-3000 or ssdoffice@umich.edu). For students who are connected with SSD, accommodation requests can be made in Accommodate. If you have any questions or concerns please contact your SSD Coordinator or visit SSD’s Current Student webpage. SSD considers aspects of the course design, course learning objects and the individual academic and course barriers experienced by the student. Further conversation with SSD, instructors, and the student may be warranted to ensure an accessible course experience.
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Students may experience stressors that can impact both their academic experience and their personal well-being. These may include academic pressure and challenges associated with relationships, mental health, alcohol or other drugs, identities, finances, etc. If you are experiencing concerns, seeking help is a courageous thing to do for yourself and those who care about you. If the source of your stressors is academic, please contact me so that we can find solutions together. For personal concerns, U-M offers many resources, some of which are listed at Resources for Students on the Well-being Collective website. You can also search for additional resources on that website.