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Supplementary materials to the lecture data driven audio signal processing

License: MIT License

Python 0.01% Jupyter Notebook 100.00%

data-driven-audio-signal-processing-lecture's Introduction

Data Driven Audio Signal Processing

This repository collects supplementary materials to the master's course Selected Topics in Audio Signal Processing given by Sascha Spors at the University of Rostock, Germany. The contents are provided as Open Educational Resource, so feel free to fork, share, teach and learn. You can give the project a Star if you like it.

Getting Started

The Jupyter notebooks are accessible in various ways

Other online services (e.g. Google Colaboratory, Microsoft Azure, ...) provide environments for interactive execution of Jupyter notebooks as well. Local execution on your computer requires a local Jupyter/IPython installation. The Anaconda distribution can be considered as a convenient starting point. Then, you'd have to clone/download the notebooks from Github. Use a Git client to clone the notebooks and then start your local Jupyter server. For manual installation under OS X/Linux please refer to your packet manager.

Usage and Contributing

The contents are provided as Open Educational Resource. The text is licensed under Creative Commons Attribution 4.0 , the code of the IPython examples under the MIT license. Feel free to use the entire collection, parts or even single notebooks for your own purposes. I am curious on the usage of the provided resources, so feel free to drop a line or report to [email protected].

data-driven-audio-signal-processing-lecture's People

Contributors

f-krueger avatar spors avatar

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