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sms-tools

Sound analysis/synthesis tools for music applications written in python (with a bit of C) plus complementary lecture materials.

How to use

In order to use these tools you have to install version 2.7.* of python and the following modules: ipython, numpy, matplotlib, scipy, pygame, and cython.

In Ubuntu (which we strongly recommend) in order to install all these modules it is as simple as typing in the Terminal:

$ sudo apt-get install python-dev ipython python-numpy python-matplotlib python-scipy python-pygame cython

then for using 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).

Content

All the code is in the software directory, with subdirectories for the models, the transformations, and the interfaces. The lecture material is in the lecture directory and the sounds used for the examples and coming from http://freesound.org are in the sounds directory.

License

All the software is distributed with the Affero GPL licence, and the lecture slides and sounds are distributed with the Creative Commons Attribution-Noncommercial-Share Alike license.

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  • Python 59.3%
  • C 40.7%