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Audio Signal Processing for Music Applications
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This Course Includes
coursera
4.8 (290 reviews )
49 hours 
english
Online - Self Paced
course
Universitat Pompeu Fabra of Barcelona
About 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.
What You Will Learn?
- Introduction Discrete Fourier transform Fourier theorems Short-time Fourier transform Sinusoidal model Harmonic model Sinusoidal plus residual model Sound transformations Sound and music description Concluding topics Concluding topics: Lesson Choices.