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Audio Signal Processing for Music Applications

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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Universitat Pompeu Fabra of Barcelona

Rating 4.7 based on 48 ratings
Length 11 weeks
Effort 10 weeks of study, 8 hours/week
Starts Mar 25 (in 4 days)
Cost $0
From Universitat Pompeu Fabra of Barcelona, Stanford University via Coursera
Instructors Xavier Serra, Prof Julius O Smith, III
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Art & Design Humanities
Tags Computer Science Arts And Humanities Music And Art Software Development

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What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

very good in 6 reviews

If you haven't had exposure to Digital Signal Processing, then it would be a very good idea to get introduced to it before taking this course.

Very good material!

The video lectures are very good.

Also, very good additional materials - video lectures from Julius Smith, if you want to go even deeper into math theory.

exceptional course -- expect good amount of work, but then you get lots out of it (as with any good course) Very good course.

audio signal processing in 5 reviews

This is an applied course mainly based on an audio signal processing package provided to the students.

This course is amazing I wish I can give 6 stars best course to apply your math knowledment great course, learned a lot for it A very good introduction to audio signal processing .

lectures, code samples and references are clear and completeabsolutely recommended This is a really good course if you wish to start learning about Audio signal processing concepts.

It covers all the aspects of the topics discussed on Audio Signal Processing ranging from In-depth Theory to excellent examples & demonstration to programming aspects.

This course gives quite some fundumental concepts about the audio signal processing.

well explained in 4 reviews

Everything was well explained and well structured.

The course is very well explained, the assignment are really interesting and the topic is very interesting as well.

If you never worked with coding, the beginning may be a bit tricky, but everything is well explained.

Very well explained and organized course material.

Very well explained, good examples, excellent learning material, practical exercises, and lots and lots of room for further personal study!

very well in 4 reviews

Very well presented and thorough investigation into spectrogram, STFT and reconstruction techniques.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Audio Transcriber $55k

Audio Engineer 4 $57k

Audio Production $58k

Freelance Audio $59k

Signal Officer 3 $61k

AUDIO ENERGY $68k

Audio Sales $69k

Mixed Signal Audio Applications Engineer $70k

Audio and Speech Signal Processing Engineer $73k

Supervisor Audio $81k

Signal Analyst $82k

Signal Engineer 1 $99k

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Universitat Pompeu Fabra of Barcelona

Rating 4.7 based on 48 ratings
Length 11 weeks
Effort 10 weeks of study, 8 hours/week
Starts Mar 25 (in 4 days)
Cost $0
From Universitat Pompeu Fabra of Barcelona, Stanford University via Coursera
Instructors Xavier Serra, Prof Julius O Smith, III
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Art & Design Humanities
Tags Computer Science Arts And Humanities Music And Art Software Development

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