Richard Mann

Associate Professor
Department of Computer Science
University of Waterloo

mannr@uwaterloo.ca
DC2510 (Davis Center)
Voice: (519) 888-4567 x33006
Fax: (519) 885-1208
Driving directions to Waterloo
Campus map

Talks

CS Undergraduate Club Talk
Date: Monday Nov 5, 2018, 5:30pm.
Location: MC4063. POSTPONED.
I have included the Abstract and Slides below for interested students.
I hope to present material soon.
Abstract (text), Slides (PDF).

CS Undergraduate Club Talk
Title: From Microphones to Speakers and Everything In Between
Date: Tuesday July 17, 2018, 6pm
Location: MC4041
Slides: (PDF)

Teaching

Student Project (W18): "Elevator Pitch". A video game App for voice / singing training.
App Store: https://itunes.apple.com/app/id1370102089,
Play Store: https://play.google.com/store/apps/details?id=com.waznop.ElevatorPitch

Current Course (W19):

CS489/698 - Computational Audio (W19). This is an "Advanced Topics" course, offered at both the undergraduate and graduate level.
Undergraduates (CS489): Students will work on a course project, of their own choosing. Students may work individually or in groups. Grades: 50% assignments, 50% project. NO EXAM.
Graduates (CS698): Graduate students have the same assignments, but will be expected to undertake a individual, research oriented project, to write up the result as a research paper, and to present to the class. Grades: 35% assignments, 15% presentation, 50% report.

Undergraduate Information Session, Monday October 16, 2017, at 3:30-5:00 pm, in DC 1302. (PDF) (Video).
Lectures: Tuesday and Thursday, 10:00--11:20, MC4058. First lecture Tues Jan 8, 2019
Tutorials: Monday 10:30--11:20, MC2034. First tutorial, Week #2, Mon Jan 14, 2019.
Notes, Announcements, and Assignments: Piazza (link).

Previous Courses

CS489/698 - Computational Sound (third offering, W18).
CS489/698 - Computational Sound (second offering, W17).
CS489/698 - Computational Sound (first offering, W16).
CS484/684 - Computational Vision (F11, W13)
CS886 - Perception as Bayesian Inference (W10)
CS787 - Computational Vision (W03, F04, W07)
CS486/686 - Introduction to Artificial Intelligence (S02)
CS498Q/698Q - Computational Vision (W00, W01, W06)
CS251 - Digital Design and Architecture (W01, W02, W04, W05, F05, F06, F10, W11, F12)
CS134 - Principles of Computer Science (S00)

Research interests

Computational vision (high-level vision, motion understanding, event recognition)
Computational hearing (acoustics, speech, music, signal processing)
Perception and Learning
Artificial Intelligence
Computer Audio: Electrical and Acoustic Measurement
Industrial Wind Turbine Noise (audible and infra sound)

Publications

Open Source Software for Electrical and Acoustic measurement.

Joint work with John Vanderkooy (Physics), Audio Research Group.

John Vanderkooy and Richard Mann, An Open-Source Electroacoustic Measurement System Part 1: Theory, Practicalities & Acoustic Examples. Linear Audio, Volume 13, 1 April 2017. LinearAudio.net. Paper (PDF) M-files & readme for part1

Richard Mann and John Vanderkooy, An Open-Source Electroacoustic Measurement System Part 2: Sound Card Setup, System Characterization and a few more Examples. Linear Audio, Volume 13, 1 April 2017. LinearAudio,net. Paper (PDF) M-files & readme for part 2.

Wind Turbines