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.
oferecido por

Processamento de sinais de áudio para aplicativos musicais
Universidade Pompeu Fabra de BarcelonaInformações sobre o curso
Habilidades que você terá
- Digital Signal Processing
- Signal Processing
- Python Programming
- Fft Algorithms
Programa - O que você aprenderá com este curso
Introduction
Discrete Fourier transform
Fourier theorems
Short-time Fourier transform
Avaliações
- 5 stars88,21%
- 4 stars8,57%
- 3 stars1,78%
- 2 stars0,71%
- 1 star0,71%
Principais avaliações do PROCESSAMENTO DE SINAIS DE ÁUDIO PARA APLICATIVOS MUSICAIS
Very well presented and thorough investigation into spectrogram, STFT and reconstruction techniques. Enjoying thanks.
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.
Great Course, lots of concepts to learn and implement! I had amazing time doing the assignments. Should be an ASPMA part 2 course.
A course which gives an overview of many transforms each with a theory, demonstrative and programming classes with quizzes but the assignments could have been a less difficulty level.
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