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data-driven-audio-signal-processing-exercise

Data Driven Audio Signal Processing - A Tutorial with Computational Examples

This tutorial accompanies the lecture Data Driven Audio Signal Processing. The lecture and the tutorial are designed for International Standard Classification of Education (ISCED) level 7 (Master, in total 6 ECTS credits).

Jupyter notebooks can be accessed via the services

Versions / Tags

  • v0.1 for winter term 2021/22, initial version
  • v0.2 for winter term 2022/23
  • v0.3 for winter term 2023/24, many beamer tex slides added, CI
  • v0.4 winter term 2024/25, smaller mods due to API changes, PCA example on exam grades, slides
  • v0.5 winter term 2025/26, TBD

Branch Conventions

  • the default branch of the repository is dev and this is used for development
  • the dev branch contains notebooks with cleared outputs for convenient diff handling
  • the main branch contains notebooks with rendered outputs, which is maintained from time to time
  • do not rely on main branch as this is hard reset from time to time
  • probably in future we rename main to somewhat less confusing

Python Environment

  • the pyproject.toml contains the project info
  • assuming we use uv for Python, packaging and environment handling a dedicated environment can be cerated with uv sync

Authorship

Referencing

Please cite this open educational resource (OER) project as Frank Schultz, Data Driven Audio Signal Processing - A Tutorial Featuring Computational Examples, University of Rostock ideally with relevant file(s), github URL, commit number and/or version tag, year.

License

  • Creative Commons Attribution 4.0 International License (CC BY 4.0) for text/graphics
  • MIT License for software

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