/audio-signal-processing

Audio Signal Processing for Music Applications - In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications. The course is based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. We are also distributing with open licenses the software and materials developed for the course. More Who is this class for: This course is primary aimed at advanced undergraduate or master students, along with professionals, interested in signal processing, programming and music. Created by: Universitat Pompeu Fabra of Barcelona, Stanford University

Primary LanguagePython

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