课程信息
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100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

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中级

完成时间大约为52 小时

建议:10 weeks of study, 8 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Digital Signal ProcessingSignal ProcessingPython ProgrammingFft Algorithms

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为52 小时

建议:10 weeks of study, 8 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 6 小时

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....
11 个视频 (总计 126 分钟), 1 个阅读材料, 2 个测验
11 个视频
Teaser3分钟
Welcome4分钟
Introduction to Audio Signal Processing13分钟
Course outline10分钟
Basic mathematics16分钟
Introduction to Audacity9分钟
Introduction to SonicVisualizer10分钟
Introduction to sms-tools17分钟
Introduction to Python11分钟
Python and sounds13分钟
sms-tools software14分钟
1 个阅读材料
Advanced readings and videos10分钟
1 个练习
Basics20分钟
2
完成时间为 5 小时

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....
6 个视频 (总计 78 分钟), 1 个阅读材料, 2 个测验
6 个视频
DFT 111分钟
DFT 216分钟
Analyzing a sound8分钟
Introduction to Freesound12分钟
Sinusoids14分钟
DFT15分钟
1 个阅读材料
Advanced readings and videos10分钟
1 个练习
DFT20分钟
3
完成时间为 5 小时

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....
7 个视频 (总计 99 分钟), 1 个阅读材料, 2 个测验
7 个视频
Fourier properties 213分钟
Periodic signals11分钟
Complex sounds9分钟
Spectrum13分钟
Fourier properties23分钟
dftModel13分钟
1 个阅读材料
Advanced readings and videos10分钟
1 个练习
Fourier properties20分钟
4
完成时间为 5 小时

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. ...
6 个视频 (总计 90 分钟), 1 个阅读材料, 2 个测验
6 个视频
STFT 117分钟
STFT 216分钟
Spectrogram10分钟
Analyzing a sound14分钟
Windows16分钟
STFT14分钟
1 个阅读材料
Advanced readings and videos10分钟
1 个练习
Short-time Fourier transform20分钟
5
完成时间为 5 小时

Sinusoidal model

Sinusoidal model equation; sinewaves in a spectrum; sinewaves as spectral peaks; time-varying sinewaves in spectrogram; sinusoidal synthesis. Demonstration of the sinusoidal model interface of the sms-tools package and its use in the analysis and synthesis of sounds. Implementation of the detection of spectral peaks and of the sinusoidal synthesis using Python and presentation of the sineModel functions from the sms-tools package, explaining how to use them. ...
8 个视频 (总计 115 分钟), 1 个阅读材料, 2 个测验
8 个视频
Sinusoidal model 213分钟
Sinusoidal model 317分钟
Sinusoidal model13分钟
Analyzing a sound12分钟
Peak detection14分钟
Sinusoidal synthesis12分钟
sineModel16分钟
1 个阅读材料
Advance reading10分钟
1 个练习
Sinusoidal model20分钟
6
完成时间为 5 小时

Harmonic model

Harmonic model equation; sinusoids-partials-harmonics; polyphonic-monophonic signals; harmonic detection; f0-detection in time and frequency domains. Demonstrations of pitch detection algorithm, of the harmonic model interface of the sms-tools package and of its use in the analysis and synthesis of sounds. Implementation of the detection of the fundamental frequency in the frequency domain using the TWM algorithm in Python and presentation of the harmonicModel functions from the sms-tools package, explaining how to use them. ...
7 个视频 (总计 120 分钟), 1 个阅读材料, 2 个测验
7 个视频
F0 detection20分钟
Pitch detection14分钟
Harmonic model25分钟
Analyzing a sound14分钟
F0 detection16分钟
harmonicModel14分钟
1 个阅读材料
Advanced readings10分钟
1 个练习
Harmonic model20分钟
7
完成时间为 5 小时

Sinusoidal plus residual model

Stochastic signals; stochastic model; stochastic approximation of sounds; sinusoidal/harmonic plus residual model; residual subtraction; sinusoidal/harmonic plus stochastic model; stochastic model of residual. Demonstrations of the stochastic model, harmonic plus residual, and harmonic plus stochastic interfaces of the sms-tools package and of its use in the analysis and synthesis of sounds. Presentation of the stochasticModel, hprModel and hpsModel functions implemented in the sms-tools package, explaining how to use them. ...
8 个视频 (总计 126 分钟), 1 个阅读材料, 2 个测验
8 个视频
Sinusoidal plus residual modeling16分钟
Stochastic model10分钟
Harmonic plus residual model14分钟
Harmonic plus stochastic model12分钟
stochasticModel17分钟
hprModel19分钟
hpsModel14分钟
1 个阅读材料
Advanced readings10分钟
1 个练习
Sinusoidal plus residual model20分钟
8
完成时间为 5 小时

Sound transformations

Filtering and morphing using the short-time Fourier transform; frequency and time scaling using the sinusoidal model; frequency transformations using the harmonic plus residual model; time scaling and morphing using the harmonic plus stochastic model. Demonstrations of the various transformation interfaces of the sms-tools package and of Audacity. Presentation of the stftTransformations, sineTransformations and hpsTransformations functions implemented in the sms-tools package, explaining how to use them. ...
9 个视频 (总计 120 分钟), 1 个阅读材料, 2 个测验
9 个视频
Sounds transformations 216分钟
Morphing with STFT10分钟
Time scaling11分钟
Pitch changes12分钟
Morphing with HPS12分钟
stftTransformations18分钟
sineTransformations11分钟
hpsTransformations9分钟
1 个阅读材料
Advanced readings10分钟
1 个练习
Sound transformations20分钟
9
完成时间为 5 小时

Sound and music description

Extraction of audio features using spectral analysis methods; describing sounds, sound collections, music recordings and music collections. Clustering and classification of sounds. Demonstration of various plugins from SonicVisualiser to describe sound and music signals and demonstration of some advance features of freesound.org. Presentation of Essentia, a C++ library for sound and music description, explaining how to use it from Python. Programming with the Freesound API in Python to download sound collections and to study them. ...
6 个视频 (总计 142 分钟), 2 个测验
6 个视频
Sound and music description24分钟
Sound descriptors14分钟
Freesound20分钟
Intro to Essentia25分钟
Freesound API26分钟
1 个练习
Sound and music description20分钟
10
完成时间为 2 小时

Concluding topics

Audio signal processing beyond this course. Beyond audio signal processing. Review of the course topics. Where to learn more about the topics of this course. Presentation of MTG-UPF. Demonstration of Dunya, a web browser to explore several audio music collections, and of AcousticBrainz, a collaborative initiative to collect and share music data. ...
6 个视频 (总计 106 分钟), 1 个阅读材料, 1 个测验
6 个视频
Review12分钟
MTG-UPF18分钟
Goodbye17分钟
Dunya18分钟
AcousticBrainz22分钟
1 个阅读材料
Advanced readings10分钟
1 个练习
Concluding topics20分钟
完成时间为 6 小时

Concluding topics: Lesson Choices

...
3 个测验
4.8
56 个审阅Chevron Right

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创建者 LNDec 4th 2016

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!

创建者 HZJan 21st 2017

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.

讲师

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Xavier Serra

Full Professor
Dept. of Information and Communication Technologies, UPF
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Prof Julius O Smith, III

Professor of Music and (by courtesy) Electrical Engineering
CCRMA

关于 庞佩乌·法布拉·大学

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....

关于 斯坦福大学

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....

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  • 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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