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Audio Signal Processing for Music Applications 

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  • Public/Government Institute

Audio Signal Processing for Music Applications
 at 
Coursera 
Overview

Duration

49 hours

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Audio Signal Processing for Music Applications
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Audio Signal Processing for Music Applications
 at 
Coursera 
Highlights

  • 100% online Start instantly and learn at your own schedule.
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Intermediate Level
  • Approx. 49 hours to complete
  • English Subtitles: French, Portuguese (European), Russian, English, Spanish
Read more
Details Icon

Audio Signal Processing for Music Applications
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • 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.

Audio Signal Processing for Music Applications
 at 
Coursera 
Curriculum

Introduction

Teaser

Welcome

Introduction to Audio Signal Processing

Course outline

Basic mathematics

Introduction to Audacity

Introduction to SonicVisualizer

Introduction to sms-tools

Introduction to Python

Python and sounds

sms-tools software

Advanced readings and videos

Basics

Discrete Fourier transform

DFT 1

DFT 2

Analyzing a sound

Introduction to Freesound

Sinusoids

DFT

Advanced readings and videos

DFT

Fourier theorems

Fourier properties 1

Fourier properties 2

Periodic signals

Complex sounds

Spectrum

Fourier properties

dftModel

Advanced readings and videos

Fourier properties

Short-time Fourier transform

STFT 1

STFT 2

Spectrogram

Analyzing a sound

Windows

STFT

Advanced readings and videos

Short-time Fourier transform

Sinusoidal model

Sinusoidal model 1

Sinusoidal model 2

Sinusoidal model 3

Sinusoidal model

Analyzing a sound

Peak detection

Sinusoidal synthesis

sineModel

Advance reading

Sinusoidal model

Harmonic model

Harmonic model

F0 detection

Pitch detection

Harmonic model

Analyzing a sound

F0 detection

harmonicModel

Advanced readings

Harmonic model

Sinusoidal plus residual model

Stochastic model

Sinusoidal plus residual modeling

Stochastic model

Harmonic plus residual model

Harmonic plus stochastic model

stochasticModel

hprModel

hpsModel

Advanced readings

Sinusoidal plus residual model

Sound transformations

Sounds transformations 1

Sounds transformations 2

Morphing with STFT

Time scaling

Pitch changes

Morphing with HPS

stftTransformations

sineTransformations

hpsTransformations

Advanced readings

Sound transformations

Sound and music description

Audio features

Sound and music description

Sound descriptors

Freesound

Intro to Essentia

Freesound API

Sound and music description

Concluding topics

Beyond audio processing

Review

MTG-UPF

Goodbye

Dunya

AcousticBrainz

Advanced readings

Concluding topics

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Audio Signal Processing for Music Applications
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