New York University 3 credits Computer Science
This course provides a comprehensive introduction to the field of machine listening, i.e., the development of computational methods for making sense of the world through sound. It combines knowledge and methods from machine learning, signal processing and acoustics towards the automatic detection, classification, localization, separation and retrieval of everyday sounds. Through lectures and assignments you will learn about (a) audio signal processing and machine learning fundamentals; (b) classical and deep ML approaches to sound event detection and detection; (c) spatial audio analysis and sound event localization; and (d) audio representation learning. | CS-GY 6923 Machine Learning or equivalent Prerequisites: CS-GY 6923 Machine Learning or equivalent.
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