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.
제공자:
바르셀로나 폼페우 파브라 대학교
스탠퍼드 대학교
바르셀로나 폼페우 파브라 대학교
About this Course
최근 조회 30,003회
귀하가 습득할 기술
Digital Signal ProcessingSignal ProcessingPython ProgrammingFft Algorithms
Course을(를) 수강하는 학습자
- Machine Learning Engineers
- Musicians
- Data Scientists
- Software Engineers
- Engineers
강의 계획 - 이 강좌에서 배울 내용
주
1완료하는 데 6시간 필요
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.
11개 동영상 (총 126분), 1 reading, 2 quizzes
11개의 동영상
Teaser3m
Welcome4m
Introduction to Audio Signal Processing13m
Course outline10m
Basic mathematics16m
Introduction to Audacity9m
Introduction to SonicVisualizer10m
Introduction to sms-tools17m
Introduction to Python11m
Python and sounds13m
sms-tools software14m
1개의 읽기 자료
Advanced readings and videos10m
1개 연습문제
Basics20m
주
2완료하는 데 5시간 필요
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.
6개 동영상 (총 78분), 1 reading, 2 quizzes
1개의 읽기 자료
Advanced readings and videos10m
1개 연습문제
DFT20m
주
3완료하는 데 5시간 필요
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.
7개 동영상 (총 99분), 1 reading, 2 quizzes
7개의 동영상
Fourier properties 213m
Periodic signals11m
Complex sounds9m
Spectrum13m
Fourier properties23m
dftModel13m
1개의 읽기 자료
Advanced readings and videos10m
1개 연습문제
Fourier properties20m
주
4완료하는 데 5시간 필요
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.
6개 동영상 (총 90분), 1 reading, 2 quizzes
1개의 읽기 자료
Advanced readings and videos10m
1개 연습문제
Short-time Fourier transform20m
4.8
60개의 리뷰67%
이 강좌를 통해 확실한 경력상 이점 얻기
Audio Signal Processing for Music Applications의 최상위 리뷰
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!
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.
강사
Xavier Serra
Full ProfessorDept. of Information and Communication Technologies, UPF
Prof Julius O Smith, III
Professor of Music and (by courtesy) Electrical EngineeringCCRMA
바르셀로나 폼페우 파브라 대학교 정보
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.
스탠퍼드 대학교 정보
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.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.
Can I take this 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.
Can I pay to get a Course Certificate?
No, we do not offer this option.
What resources will I need for this class?
All the materials and tools for the class are available online under open licences.
Do I need to buy a textbook for the course?
No, it is self-contained.
How much programming background is needed for the course?
All the assignments start from some existing Python code that the student have to understand and modify. Some programming experience is necessary.
What is the coolest thing I'll learn if I take this class?
You will play around with sounds a lot, analysing them, transforming them, and making interesting new sounds.
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