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.
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.
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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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!
An absolutely awesome introduction to Audio Signal Processing. The additive introduction of new concepts is capable of teaching any beginner this topic which ordinarily is difficult to understand.
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.
Assignments are easily doable without any application of real analysis skills. You guys should actually ask us to build certain parts of your models so that we achieve that level of skill.
Good lectures with a focus on practical applications. Good introduction to how signal processing can be used for musical analysis, and more specifically how to use the Essentia library
Excellent material for an interesting subject. The video lectures are very good. The course does need some updates for Python3 and associated libraries to stay current.
Very well explained and organized course material. The classes are also very detailed and special emphasis is put on illustrating every concept with example plots.
Excellent course, for me this was pitched at just the right level to be interesting and also challenging. Everything was well explained and well structured.
good course . If there will any Speech recognition course it will useful > Hope Coursera will start speech recognition course in future .
Thank you kindly! The course is quite useful. I understood not only mathematics of Fourier Transform, but also the meaning of each step.
It's a wonderful course when you can begin in the world of Digital Audio Processing. Very recommended! Thank you very much!
I have just finished the week three and I'm enjoying every part of the course. Thank you, thank you and thank you again.
Very well presented and thorough investigation into spectrogram, STFT and reconstruction techniques. Enjoying thanks.
Very nice course with nice materials! I am recommending for technical students interested in audio/music as me!!!
I have questions that I would like to ask, but it seems that I can't access discussion forms for some reason.
exceptional course -- expect good amount of work, but then you get lots out of it (as with any good course)
i will thanks to management, i really need to learn this course because my FYP is based on this course
This is a really good course if you wish to start learning about Audio signal processing concepts.
great course to learn basis of signal processing. it covers a lot more about signal processing.
one of the most insightful, practical and entertaining courses on coursera! highly recommended
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.