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 stars88.25%
- 4 stars8.54%
- 3 stars1.77%
- 2 stars0.71%
- 1 star0.71%
TOP REVIEWS FROM AUDIO SIGNAL PROCESSING FOR MUSIC APPLICATIONS
Interesting lectures and practical exercises provide a strong foundation for entering the field of digital audio processing. Thank you very much!
An absolutely awesome introduction to Audio Signal Processing. The additive introduction of new concepts is capable of teaching any beginner this topic which ordinarily is difficult to understand.
This course was really complete and well structured, the instructor knows the topic really well and makes you want to learn more.
Great Course, lots of concepts to learn and implement! I had amazing time doing the assignments. Should be an ASPMA part 2 course.
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