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Install xquartz 2.7.7 mac2/10/2023 ![]() ![]() I liked to attend the first session of this course which was held in Autumn/Winter 2014. If you look at the Audio Signal Processing for Music Applications course at Coursera you can see the theory, practical details and more. Also there's a lot of short example scripts. Just open a wav file, set the params, look at the graphs and play the reconstructed audio. Besides the library of models and transformations there is some GUI that allows you to quickly experimentat with various parameters and data. Also it contains some very cool transformations including sound morphing. ![]() What are SMS-tools good for? In short they provide models for music analysis - how to turn a music recording into a spectrogram and then a each frame into a sum of sinusoids, sum of harmonic sinusoids, sum of harmonic sinusoids and random noise, etc. Here we see how to run it on latest Python 3.4 on Mac OS X Yosemite. It was written to run Ubuntu Linux and Python 2.7. It serves for practical excercises within the Audio Signal Processing for Music Applications course at Coursera. SMS-tools (Spectral modeling synthesis) is a Python education library for audio signal analysis and modeling. ![]()
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