

Audio Signal Processing for Music Applications
- Offered byCoursera
- 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 | Explore Free Course |
Credential | Certificate |
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
Audio Signal Processing for Music Applications at Coursera Course details
- 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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