Sound Art: Listening (ITPG-GT 2328)

Listening is not something we do through hearing alone. Engaging with multiple perspectives, from Deaf studies and critiques of ableist hearing ideologies, to the possibilities and pitfalls presented through machine listening and imaginative sonic speculation, we will playfully deconstruct and question what it means to listen at all. Each week, readings will be assigned and students are asked to respond to prompts in the form of light-weight exercises that will orient most of our in-class discussion. Time will be spent discussing readings, presenting, and providing critique for each other’s projects in order to help draw connections between theory and practice. Through in-class presentations, we will encounter works by Christine Sun Kim, George Lewis, Pauline Oliveros and read from Jennifer Lynn Stoever, Tina Campt, and François Bonnet. The class has no technical prerequisites, and students are welcome to respond with works using tools and techniques from other classes (audio/video presentation, programming and physical computing, installation and fabrication, etc.). Through this work, we will unpack how the way in which we attend to the physical world and its inhabitants through our listening has real consequences. In much the same way our interpretation of the world is informed and influenced by factors outside of ourselves, our capacity to listen is conditioned through societal, political, economic, historical, and racial dimensions. We will disentangle listening from hearing and consider listening as a practice that begins not with how we hear sounds but how it allows us to (or prevents us from) interfacing and relating to our exteriors (and interiors). By the end of the class we will attempt to converge and coalesce our own ideas and perspective of what it means to listen.

Interactive Telecommunications (Graduate)
2 credits – 7 Weeks

Sections (Spring 2023)


ITPG-GT 2328-000 (22308)
03/24/2023 – 05/05/2023 Fri
3:00 PM – 5:00 PM (Late afternoon)
at Brooklyn Campus
Instructed by Diedrick, Johann

Listening Machines (ITPG-GT 2043)

Credits: 2
Duration: 6 Weeks
Dates: Mon

This course will provide students with an introduction to the area of machine listening. Machine listening is the general field studying algorithms and systems for audio understanding by machine. It deals exclusively with general audio as opposed to speech recognition. The most basic goal of all machine listening systems is to reliably recognize and react to very specific sounds. Over the course of the semester, we will create our own unique machine listening systems that provide us with new and interesting ways to interact with our projects. We will use live coding and real-time data visualization to demystify some of the more daunting underlying topics like digital signal analysis, music information retrieval, and machine learning.

Interactive Telecommunications (Graduate)
2 credits – 6 Weeks