CS 448

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Credit: 3 OR 4 hours.

Computational foundations of modern audio applications: theory of audio processing for implementation of applications such as room and 3D/virtual audio rendering, pitch manipulations and autotuning, denoising for communications and forensics, audio classification, music information retrieval based on audio, rudimentary speech recognition, speech and audio coding, applications of machine learning to audio scene recognition, audio restoration, missing data recovery, and many more. This will be a lab-like course in which students collectively implement a variety of core audio operations that are commonplace today. Students will be required to bring to class their laptops and headphones to participate in lab exercises.

3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: One of CS 240, CS 241, CS 340, CS 341, or ECE 391; one of MATH 225, MATH 257, MATH 415, MATH 416, ASRM 406, or BIOE 210.

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