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

Sections (Fall 2020)

ITPG-GT 2043-000 (22629)
09/03/2020 – 10/15/2020 Thu
6:00 PM – 9:00 PM (Evening)
at Brooklyn Campus
Instructed by Simpson, Michael