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.
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Audio Signal Processing for Music Applications
Universitat Pompeu Fabra of BarcelonaAbout this Course
Skills you will gain
- Digital Signal Processing
- Signal Processing
- Python Programming
- Fft Algorithms
Syllabus - What you will learn from this course
Introduction
Discrete Fourier transform
Fourier theorems
Short-time Fourier transform
Reviews
- 5 stars88.21%
- 4 stars8.57%
- 3 stars1.78%
- 2 stars0.71%
- 1 star0.71%
TOP REVIEWS FROM AUDIO SIGNAL PROCESSING FOR MUSIC APPLICATIONS
I learned a lot during this course. It took quite a lot of time and energy to complete it, but I'm glad I did. It is now much easier to follow the text of Richard Lyons' book. Highly recommended.
I have questions that I would like to ask, but it seems that I can't access discussion forms for some reason.
This course was really complete and well structured, the instructor knows the topic really well and makes you want to learn more.
Excellent material for an interesting subject. The video lectures are very good. The course does need some updates for Python3 and associated libraries to stay current.
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