zhifengzhang-sz / ismir23-tutorial

Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing

Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing

Cyrus Vahidi¹, Christopher Mitcheltree¹ Vincent Lostanlen²

¹ Centre for Digital Music, Queen Mary University of London
² LS2N, CNRS, Nantes, France

This is a web book written for a tutorial session of the 24th International Society for Music Information Retrieval Conference, Nov 4-10, 2023 in Milan, Italy. The ISMIR conference is the world’s leading research forum on processing, searching, organising and accessing music-related data.

Overview

Cite

@book{vahidi2023kymatio,
    title={Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing},
    author={Cyrus Vahidi and Christopher Mitcheltree and Vincent Lostanlen},
    publisher={ISMIR},
    month={Nov.},
    year={2023},
    url={https://kymatio.github.io/ismir23-tutorial},
}

Build

Create a Python environment and build the book.

python -m venv env
source env/bin/activate
pip install requirements.txt
jupyter-book build book/

Upload the book to GitHub.

cd book
ghp-import -n -p -f _build/html

You can also export the book as a PDF. Note that this requires having TeX installed.

jupyter-book build book/ --builder pdflatex