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Audio Signal Processing: Online course by Stanford University

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Audio Signal Processing: Online course

Audio signal processing is an engineering field that focuses on the computational methods for intentionally altering sounds, methods that are used in many musical applications.

About the course
In this course students will learn about audio signal processing methodologies that are specific for music and of use in real applications. They will also learn to analyse, synthesize and transform sounds using the Python programming language.

Course Syllabus
Week 1: Introduction; basic mathematics
Week 2: Discrete Fourier transform
Week 3: Fourier transform properties
Week 4: Short-time Fourier transform
Week 5: Sinusoidal model
Week 6: Harmonic model
Week 7: Sinusoidal plus residual modeling
Week 8: Sound transformations
Week 9: Sound/music description
Week 10: Concluding topics; beyond audio signal processing

Prerequisites
The course assumes some basic background in mathematics and signal processing. Also, since the assignments are done with the programming language Python, some software programming background in any language is most helpful.

Course Sessions
October 1, 2014 - December 19, 2014

For further information, click here.

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