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.
Audio Signal Processing for Music ApplicationsUniversitat Pompeu Fabra of Barcelona
About this Course
Skills you will gain
- Digital Signal Processing
- Signal Processing
- Python Programming
- Fft Algorithms
Syllabus - What you will learn from this course
Discrete Fourier transform
Short-time Fourier transform
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- 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!
Top class! Very well explained, good examples, excellent learning material, practical exercises, and lots and lots of room for further personal study! Well done guys, and especially Xavier! Cheers!
Amazing, Challenging and honestly learnt a lot. This course helped me decide my masters specialisation and I am genuinely excited to pursue it!!
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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