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Kadenze

Music Retrieval Systems

Victoria University of Wellington via Kadenze

Overview

Course 3 builds upon the digital signal processing concepts we have learned in Course 1 and the machine learning concepts we have learned in Course 2 to investigate a variety of interesting music information retrieval tasks. As these tasks become more advanced and complicated, the examples and assignments in this course shift from programming examples from scratch to utilizing existing libraries and frameworks. Topics explored include: music recommendation and query-by-humming, automatic chord detection and cover song identification, automatic music transcription and sound source separation, and audio fingerprinting and watermarking. By completing the course, you will have a good coverage of all the work that has been done in the field of MIR.

Taught by

George Tzanetakis

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