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

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.

This is an excellent course for those who have knowledge of Digital Signal Processing and have interest in Music.

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. On the other hand, for Music, you don't need formal education -- This is my case, good knowledge on DSP and interest in Music (but not a musician).

You need to know how to program. I think knowing Python is a plus, but in my case, I had never had exposure to Python and yet I had (almost) no problem, since I had good experience with other languages such as C and Matlab.

Here are some recommendations: [1]: If you have some trouble in the first few programming assignments, go to the forums, they will help you solve some stupid issues (probably strictly related to Python, not DSP) [2]: Take a look at the question quizzes before watching the videos. That will help you know beforehand what you need to look for. This way, you'll likely get most of 100's. [3] Enjoy what you are learning. Try to implement things you want, not only what you are requested to do. This way, you will arrive to the final project with good ideas on what to do. [4]: Although the first 5 or 6 assignments have no due date limit, the last few do have strict due dates. Don't get too confident on this, since you will find yourself having trouble finding reviewers (last few projects are graded by other students). This happened to me...

Very nice course with nice materials! I am recommending for technical students interested in audio/music as me!!!

Very interesting and well explained

Now it can be taken under Windows the course is just great!

Great learnings from great assignments and awesome faculty.

Excellent

Thank you!

Excellent course to understand DSP, Fourier Transform and Audio Programming.

Great course! Enjoyable and learned a lot. Not easy!

good course . If there will any Speech recognition course it will useful > Hope Coursera will start speech recognition course in future .

best course to apply your math knowledment

good

An excellent course, particularily when enhanced by reading the four book series by Juli us O. Smith III.

Allowing one to continue into the next semester while keeping credit for work done is a major

plus point for the course. It actually took me about a year to complete and the alloted ten weeks would be an extremely demanding schedule.

Great support from teacher, super clear explanation and excelent level of information!

Excellent course with engaging activities. Highly recommended.

great course, learned a lot for it

this course is really great. lectures, code samples and references are clear and complete

absolutely recommended

nice class!

Vídeos molt dídactics i pràctiques adequades per aprendre processament de so. M'ha quedat bastnat clar i m'ha agradat molt el curs.

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. Take your time to view the videos, they always help if you have some problems.

Very good material! Very interesting subject!

It's a wonderful course when you can begin in the world of Digital Audio Processing. Very recommended! Thank you very much!

awesome course on music application