Maintained by Gary P. Scavone.
Music Technology,
Schulich School of Music
McGill University
Winter 2022
| Course Description |
This course is a continuation of MUMT 306: Music and Audio Computing I. Various sound synthesis and processing techniques will be studied. Exercises will focus on the development of programming skills for the implementation of real-time audio applications. Students will learn how to implement sound synthesis and audio processing algorithms in Matlab, C++, and Max/MSP, with a quick introduction to ChucK.
| Instructor: Gary P. Scavone | TA: Shayan Mozaffari | |||||||||||||||||||||
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| Course Details |
| Time: | Tuesdays 1:35 - 4:25 PM | |
| Place: | E-215 (or remote via Zoom as necessary) | |
| Credits: | 3 | |
| Prerequisites: | MUMT 306, C++ or other object-oriented programming experience, curiosity and creativity beneficial | |
| Texts: | Computer Music: Synthesis, Composition, and Performance by Dodge & Jerse, 2nd Edition, Wadsworth Publishing, 1997. |
| Grading and Policies |
Attendance and punctuality: It is expected that you will be punctual and attend all classes. If you miss any, it is your responsibility to find notes from a classmate. Excessive absences or tardiness will compromise your grade. E-mail communications with teaching staff should be courteous and professional. Aim for brief, to-the-point messages, and plan ahead: allow a reasonable amount of time for responses. Extensions and/or make-ups are given only with a valid medical note.
There will be two "in-class" exams, each consisting of a one-hour written section and a two-hour computer-based section. If the course is offered remotely at the time of either of these exams, the exam will be conducted remotely as well. Assignment due dates will be indicated for each homework. The grade of a late homework will be reduced by 20% per day after the due date. Homework handed in 5 or more days late will be given a grade of 0.
| Exams (2): | 45% | |
| Homework: | 30% | |
| Final Project: | 20% | |
| Participation/Attendance: | 5% |
Grading curves will be applied if deemed appropriate. Work submitted for evaluation as part of this course may be checked with text-matching software within myCourses. In the event of extraordinary circumstances beyond the University's control, the content and/or evaluation scheme in this course is subject to change.
| Final Projects |
There will not be a final exam for this class. Instead, students are required to work on a final project of their own design. The final project provides students the opportunity to pursue a more in-depth study of a particular aspect of the class that they are most interested in. Group projects are possible with the instructor's approval. Project topics should relate to the course material and might include an electro-acoustic composition, the development of a C/C++ application, or the use of an existing software package (Max/MSP, STK, Matlab) to achieve an interesting music synthesis task. Students are encouraged to consult with the instructor and/or TA in the development stages of the project. Short project progress discussions will occur in class during the 6th and 10th weeks of the semester. Final presentations will occur during the last class of the semester. A short web-based project report detailing the objectives, methodology, and results will be due at the presentation session. Grading will be based in part on effort, organization and creativity in pursuing the project objectives.
| Course Outline |
| Week 1 (11 January): | Signal Metrics, Envelopes, Spectra, Audio Processing in Matlab (via Zoom) |
| Week 2 (18 January): | Digital Filters and Delay Lines (via Zoom) |
| Week 3 (25 January): | Digital Effects and Reverberation (via Zoom) |
| Week 4 (1 February): | Wave Tables, Granular Synthesis |
| Week 5 (8 February): | Additive Synthesis, Bandlimited Signal Generation |
| Week 6 (15 February): | Frequency-Domain Analysis, Project Discussion #1 |
| Week 7 (22 February): | Exam #1 |
| Study Break (1 March): | No Class |
| Week 8 (8 March): | STK & ChucK Introduction |
| Week 9 (15 March): | Amplitude Modulation, FM Synthesis |
| Week 10 (22 March): | Modal Synthesis, Physical Modeling, Project Discussion #2 |
| Week 11 (29 March): | Frequency-Domain Processing & Resynthesis |
| Week 12 (5 April): | Exam #2 |
| Week 13 (12 April): | Final Project Presentations |
| Homework, Labs, & Links |
McGill University values academic integrity. Therefore all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Code of Student Conduct and Disciplinary Procedures (see www.mcgill.ca/integrity for more information).
L'université McGill attache une haute importance à l'honnêteté académique. Il incombe par conséquent à tous les étudiants de comprendre ce que l'on entend par tricherie, plagiat et autres infractions académiques, ainsi que les conséquences que peuvent avoir de telles actions, selon le Code de conduite de l'étudiant et des procédures disciplinaires (pour de plus amples renseignements, veuillez consulter le site www.mcgill.ca/integrity).
Please read the Guidelines for teaching and learning and this course outline. You will be notified through a "pop-up" box in Zoom if part of a class is being recorded. By remaining in sessions that are recorded, you agree to the recording, and you understand that your image, voice, and name may be disclosed to classmates. You also understand that recordings will be made available in myCourses to students registered in the course.
© Instructor-generated course materials (e.g., handouts, notes, summaries, exam questions) are protected by law and may not be copied or distributed in any form or in any medium without explicit permission of the instructor. Note that copyright infringements can be subject to follow-up by the University under the Code of Student Conduct and Disciplinary Procedures.
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| ©2004-2022 McGill University. All Rights Reserved. Maintained by Gary P. Scavone. |