Об этом курсе
4.8
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Рецензии: 50
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. The course is based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. We are also distributing with open licenses the software and materials developed for the course....
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Intermediate Level

Промежуточный уровень

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Approx. 49 hours to complete

Предполагаемая нагрузка: 10 weeks of study, 8 hours/week...
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Субтитры: English...

Приобретаемые навыки

Digital Signal ProcessingSignal ProcessingPython ProgrammingFft Algorithms
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Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Intermediate Level

Промежуточный уровень

Clock

Approx. 49 hours to complete

Предполагаемая нагрузка: 10 weeks of study, 8 hours/week...
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English

Субтитры: English...

Программа курса: что вы изучите

Week
1
Clock
6 ч. на завершение

Introduction

Introduction to the course, to the field of Audio Signal Processing, and to the basic mathematics needed to start the course. Introductory demonstrations to some of the software applications and tools to be used. Introduction to Python and to the sms-tools package, the main programming tool for the course....
Reading
11 видео (всего 126 мин.), 1 материал для самостоятельного изучения, 2 тестов
Video11 видео
Teaser3мин
Welcome4мин
Introduction to Audio Signal Processing13мин
Course outline10мин
Basic mathematics16мин
Introduction to Audacity9мин
Introduction to SonicVisualizer10мин
Introduction to sms-tools17мин
Introduction to Python11мин
Python and sounds13мин
sms-tools software14мин
Reading1 материал для самостоятельного изучения
Advanced readings and videos10мин
Quiz1 практическое упражнение
Basics20мин
Week
2
Clock
5 ч. на завершение

Discrete Fourier transform

The Discrete Fourier Transform equation; complex exponentials; scalar product in the DFT; DFT of complex sinusoids; DFT of real sinusoids; and inverse-DFT. Demonstrations on how to analyze a sound using the DFT; introduction to Freesound.org. Generating sinusoids and implementing the DFT in Python....
Reading
6 видео (всего 78 мин.), 1 материал для самостоятельного изучения, 2 тестов
Video6 видео
DFT 111мин
DFT 216мин
Analyzing a sound8мин
Introduction to Freesound12мин
Sinusoids14мин
DFT15мин
Reading1 материал для самостоятельного изучения
Advanced readings and videos10мин
Quiz1 практическое упражнение
DFT20мин
Week
3
Clock
5 ч. на завершение

Fourier theorems

Linearity, shift, symmetry, convolution; energy conservation and decibels; phase unwrapping; zero padding; Fast Fourier Transform and zero-phase windowing; and analysis/synthesis. Demonstration of the analysis of simple periodic signals and of complex sounds; demonstration of spectrum analysis tools. Implementing the computation of the spectrum of a sound fragment using Python and presentation of the dftModel functions implemented in the sms-tools package....
Reading
7 видео (всего 99 мин.), 1 материал для самостоятельного изучения, 2 тестов
Video7 видео
Fourier properties 213мин
Periodic signals11мин
Complex sounds9мин
Spectrum13мин
Fourier properties23мин
dftModel13мин
Reading1 материал для самостоятельного изучения
Advanced readings and videos10мин
Quiz1 практическое упражнение
Fourier properties20мин
Week
4
Clock
5 ч. на завершение

Short-time Fourier transform

STFT equation; analysis window; FFT size and hop size; time-frequency compromise; inverse STFT. Demonstration of tools to compute the spectrogram of a sound and on how to analyze a sound using them. Implementation of the windowing of sounds using Python and presentation of the STFT functions from the sms-tools package, explaining how to use them. ...
Reading
6 видео (всего 90 мин.), 1 материал для самостоятельного изучения, 2 тестов
Video6 видео
STFT 117мин
STFT 216мин
Spectrogram10мин
Analyzing a sound14мин
Windows16мин
STFT14мин
Reading1 материал для самостоятельного изучения
Advanced readings and videos10мин
Quiz1 практическое упражнение
Short-time Fourier transform20мин

Преподавателя

Xavier Serra

Full Professor
Dept. of Information and Communication Technologies, UPF

Prof Julius O Smith, III

Professor of Music and (by courtesy) Electrical Engineering
CCRMA

О Universitat Pompeu Fabra of Barcelona

Pompeu Fabra University (UPF) is a modern public university, conveniently located in the centre of Barcelona (Spain) with the aim of providing top quality education and standing out as a research-based university. UPF is both a specialised university with a unique teaching model and a cutting-edge research institution. UPF places a strong emphasis on quality teaching, based on comprehensive education and student-centred learning, and innovation in the learning processes. UPF’s MOOCs are produced within this general goal....

О Stanford University

The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States....

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • Yes, there is no fee in this course. You can follow the course, do the assignments, and obtain a final grade completely for free.

  • No, we do not offer this option.

  • All the materials and tools for the class are available online under open licences.

  • No, it is self-contained.

  • All the assignments start from some existing Python code that the student have to understand and modify. Some programming experience is necessary.

  • You will play around with sounds a lot, analysing them, transforming them, and making interesting new sounds.

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