"Audio Signal Processing for Music Applications" is a MOOC hosted on Coursera, offered by Universitat Pompeu Fabra of Barcelona & Stanford University.
About the 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."
** My work from this course is in the folder "workspace" **
Sound analysis/synthesis tools for music applications written in python (with a bit of C) plus complementary teaching materials.
In order to use these tools you have to install python 3.* (recommended 3.10) and the following modules: ipython, numpy, matplotlib, scipy, and cython.
In Ubuntu you can install these modules by typing in the Terminal:
$ sudo apt-get install python-dev ipython python-numpy python-matplotlib python-scipy cython
In OSX you can install these modules by typing in the Terminal:
$ pip install ipython numpy matplotlib scipy cython
then, to use the tools, after downloading the whole package, you need to compile some C functions. For that you should go to the directory software/models/utilFunctions_C and type:
$ python compileModule.py build_ext --inplace
The basic sound analysis/synthesis functions, or models, are in the directory software/models and there is a graphical interface and individual example functions in software/models_interface. To execute the models GUI you have to go to the directory software/models_interface and type:
$ python models_GUI.py
To execute the transformations GUI that calls various sound transformation functions go to the directory software/transformations_interface and type:
$ python transformations_GUI.py
To modify the existing code, or to create your own using some of the functions, we recommend to use the workspace directory. Typically you would copy a file from software/models_interface or from software/transformations_interface to that directory, modify the code, and execute it from there (you will have to change some of the paths inside the files).
A number of teaching exercises are available as jupyter notebooks in the notebook directory. To do them you need to install Jupyter Notebook according to its instructions https://jupyter.org/install
Start up jupyter notebook by typing in the Terminal.
$ jupyter notebook
It will open a web browser, from which you can open the notebook directory.
All the code is in the software directory, with subdirectories for the models, the transformations, and the interfaces. The lecture materials are in the lectures directory, the exercises related to the lectures are in the notebook directory, and the sounds used for the examples and coming from http://freesound.org are in the sounds directory.
All the software is distributed with the Affero GPL license (http://www.gnu.org/licenses/agpl-3.0.en.html), the lecture slides are distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) license (http://creativecommons.org/licenses/by-nc-sa/4.0/) and the sounds in this repository are released under Creative Commons Attribution 4.0 (CC BY 4.0) license (http://creativecommons.org/licenses/by/4.0/)