Audio Signal Processing for Music Applications
About this course
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.
90/100
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- 39/45
- Who stands behind it
- 35/35
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What you'll learn
- understand audio signal processing methodologies
- analyze and synthesize audio signals
- transform sound using spectral processing techniques
Course objectives
- develop theoretical and practical knowledge in audio analysis
- gain hands-on experience with programming exercises
- utilize open software tools for audio processing
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