Richard Mann

Attn: Applicants for graduate studies. I generally do not respond to the high number of unsolicited applications. Please don’t send “gentle reminders” either. For best results I suggest you apply directly to the School of Computer Science, marking your preferred advisor(s) and/or work area. Please try to provide as much detail in your application, including the reasons for your chosen advisor(s). Those applications will be examined by the graduate admissions committee and made available to faculty members.

Announcement: I will be offering CS498/689 (Advanced Topics in CS, Computer Audio) in Winter 2024.

This is a project-based course. Choose your own topic. Work individually or in groups. Grade will be 50% homework, 50% project.

Links below, major update in progress...

• CS489/698 - Computational Sound (W24)

Update (Nov 16, 2023). Thanks to those who signed up (pre enrollment).

Enrollment is now open. You may also join the first week of classes, but please be sure to attend right from the start. In the meantime, if anyone has questions/project ideas etc, feel free to contact me.

Update (Nov 21, 2023). Some people have reported conflicts of lectures with midterm exam slots. If you cannot register on Quest, please contact me for override permission.

Past Teaching

• CS489/698 - Computational Sound (sixth offering, W21)

• CS489/698 - Computational Sound (fifth offering, W20)

• CS489/698 - Computational Sound (fourth offering, W19)

• 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)

Graduate Students

• Daniel Recoskie PhD 2018. “Learning Sparse Orthogonal Wavelet Filters”

• Michael Cormier PhD 2018. Co-supervised with Robin Cohen. “Computer Vision on Web Pages: A Study of Man-Made Images”. (Second-PlaceWinner of 2019 Inaugural Cheriton Dissertation Award; Winner of 2018 Murray Martin Prize (Award for Best Research Paper by a Graduate Student in Faculty of Mathematics at UW))

• Heming Wang MMath (Applied Math) 2018. Co-supervised with Edward Vrscay (Applied Math). “A Novel Diffusion-based Empirical Mode Decomposition Algorithm for Signal and Image Analysis”

• Daniel Recoskie MMath 2014. “Constrained Nonnegative Matrix Factorization with Applications to Music Transcription”

• Michael Cormier MMath 2013. Co-supervised with Daniel Lizotte.

• Adam Fourney MMath 2009.

• Nicholas Miller MMath 2008.

• Alan Caine MMath 2005.

• David Tausky MMath 2004.

• Alan Angold MMath 2003.

• Blake Grant MMath 2002.

Talks/ Presentations/ Videos/ Tutorials

Raspberry Pi videos

Acoustic measurement, Raspberry Pi 4, 64 bit ARM. First demonstrated as guest lecturer in CS251/F22 October 6 2022.

http://www.cs.uwaterloo.ca/~mannr/2022-10-12-RaspberryPi_AcousticMeasurement.mp4

Connecting camera to Raspberry Pi 4
http://www.cs.uwaterloo.ca/~mannr/2022-12-02-RaspberryPiCamera.mp4

External USB drive for Raspberry Pi 400
http://www.cs.uwaterloo.ca/~mannr/2022-12-31-RaspberryPiExternalDrive.mp4

CS251 course Introduction. Reading kernel messages booting Raspberry Pi.
http://www.cs.uwaterloo.ca/~mannr/2023-01-02-CourseIntro_part1.mp4

Undergraduate 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.
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)

Research

• 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

IARO (International Acoustics Research Organization)

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.

Service, External

Industrial Wind Turbines Research, investigation, commentary, correspondence and advocacy on Industrial Wind Turbines.

Pandemic Investigation and commentary on Pandemic.

University Correspondence. Selected correspondence with the University.