https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-exercises

Exercises for the lecture "Selected Topics in Audio Signal Processing"
https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-exercises

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Exercises for the lecture "Selected Topics in Audio Signal Processing"

• Host: GitHub
• URL: https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-exercises
• Owner: spatialaudio
• License: cc0-1.0
• Created: 2015-09-30T13:22:27.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2021-10-11T18:19:04.000Z (about 4 years ago)
• Last Synced: 2024-04-23T13:13:09.787Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage: http://nbviewer.ipython.org/github/spatialaudio/selected-topics-in-audio-signal-processing-exercises/blob/master/index.ipynb
• Size: 40.9 MB
• Stars: 60
• Watchers: 9
• Forks: 18
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-python-scientific-audio - Selected Topics in Audio Signal Processing - Exercises as iPython notebooks. (Tutorials)

README

          
Selected Topics in Audio Signal Processing - Exercises

======================================================

- [static web pages (using nbviewer)](http://nbviewer.ipython.org/github/spatialaudio/selected-topics-in-audio-signal-processing-exercises/blob/master/index.ipynb)

- [interactive web based (using mybinder)](https://mybinder.org/v2/gh/spatialaudio/selected-topics-in-audio-signal-processing-exercises/HEAD?filepath=index.ipynb)

- for local usage create a conda environment (`mystiasp`), clone the git repository

and start jupyter notebook or jupyter lab

  - created with `conda 4.9.2`

  - currently we rely on some older matplotlib version

  - `conda create -n mystiasp python=3.7.8 pip=20.2.4 numpy=1.19.4 scipy=1.5.3 matplotlib=3.1.3 jupyter=1.0.0 notebook=6.1.5 jupyterlab=2.2.9 pydocstyle=5.1.1 pycodestyle=2.6.0 autopep8=1.5.4 flake8=3.8.4 ipykernel=5.3.4 nb_conda=2.2.1 jupyter_nbextensions_configurator=0.4.1 jupyter_contrib_nbextensions=0.5.1`

  - `conda activate mystiasp`

  - we need to install pip packages since conda does not have them:

  - `pip install soundfile==0.10.3.post1`

  - `pip install sounddevice==0.4.1`

  - `python3 -m pip install sfs==0.5.0 --user`

  - make sure that the kernel is accesible for the notebooks:

  - `python -m ipykernel install --user --name mystiasp --display-name "mystiasp"`

  - now clone the repo:

  - `cd git` or whatever is a good root folder

  - `git clone https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-exercises.git`

  - `cd selected-topics-in-audio-signal-processing-exercises/`

  - `jupyter notebook index.ipynb` or `jupyter lab index.ipynb`

  - make sure that `mystiasp` kernel is used for the notebooks

  - have fun with the playgrounds

Copyright

---------

The authors waive copyright and related rights in the work through the

[CC0 1.0 Universal public domain dedication](http://creativecommons.org/publicdomain/zero/1.0/).

This is supposed to be an [Open Educational Resource](https://en.wikipedia.org/wiki/Open_educational_resources) (OER).