Awesome

Selected Topics in Audio Signal Processing - Exercises

• static web pages (using nbviewer)

• interactive web based (using mybinder)

• 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.

This is supposed to be an Open Educational Resource (OER).