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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Traitement des signaux audios pour des applications musicales
Université Pompeu Fabra de BarceloneÀ propos de ce cours
Compétences que vous acquerrez
- Digital Signal Processing
- Signal Processing
- Python Programming
- Fft Algorithms
Programme de cours : ce que vous apprendrez dans ce cours
Introduction
Discrete Fourier transform
Fourier theorems
Short-time Fourier transform
Avis
- 5 stars88,21 %
- 4 stars8,57 %
- 3 stars1,78 %
- 2 stars0,71 %
- 1 star0,71 %
Meilleurs avis pour TRAITEMENT DES SIGNAUX AUDIOS POUR DES APPLICATIONS MUSICALES
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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