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This repository collects supplementary materials to the master's course Selected Topics in Audio Signal Processing given by [Sascha Spors](http://www.int.uni-rostock.de/Staff-Info.23+B6JmNIYXNoPWUxOTliMTNjY2U2MDcyZjJiZTI0YTc4MmFkYTE5NjQzJnR4X2pwc3RhZmZfcGkxJTVCYmFja0lkJTVEPTMmdHhfanBzdGFmZl9waTElNUJzaG93VWlkJTVEPTExMQ__.0.html) at the University of Rostock, Germany. The contents are provided as [Open Educational Resource](https://de.wikipedia.org/wiki/Open_Educational_Resources), so feel free to fork, share, teach and learn. You can give the project a Star if you like it.
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## Getting Started
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The Jupyter notebooks are accessible in various ways
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* Online as [static web pages](https://nbviewer.org/github/spatialaudio/data-driven-audio-signal-processing-lecture/blob/main/index.ipynb)
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* Online for [interactive usage](https://mybinder.org/v2/gh/spatialaudio/data-driven-audio-signal-processing-lecture/HEAD?labpath=index.ipynb) with [binder](https://mybinder.org/)
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* Local for interactive usage on your computer
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Other online services (e.g. [Google Colaboratory](https://colab.research.google.com),
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[Microsoft Azure](https://azure.microsoft.com/), ...) provide environments for
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interactive execution of Jupyter notebooks as well.
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Local execution on your computer requires a local Jupyter/IPython installation.
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The [Anaconda distribution](https://www.continuum.io/downloads) can be
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considered as a convenient starting point.
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Then, you'd have to [clone/download the notebooks from Github](http://github.com/spatialaudio/digital-signal-processing-lecture).
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Use a [Git](http://git-scm.org/) client to clone the notebooks and then start
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your local Jupyter server. For manual installation under OS X/Linux please
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refer to your packet manager.
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## Usage and Contributing
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The contents are provided as [Open Educational Resource](https://de.wikipedia.org/wiki/Open_Educational_Resources).

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