https://github.com/kymatio/ismir23-tutorial

Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing
https://github.com/kymatio/ismir23-tutorial

audio deep-learning mir scattering wavelets

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Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing

• Host: GitHub
• URL: https://github.com/kymatio/ismir23-tutorial
• Owner: kymatio
• Created: 2023-11-04T11:21:23.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-16T18:06:09.000Z (about 1 year ago)
• Last Synced: 2024-11-09T05:15:36.604Z (about 2 months ago)
• Topics: audio, deep-learning, mir, scattering, wavelets
• Language: TeX
• Homepage: https://www.kymat.io/ismir23-tutorial/
• Size: 13.5 MB
• Stars: 12
• Watchers: 6
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        


 


# Kymatio: Deep Learning meets Wavelet Theory for Music Signal Processing

[![Jupyter Book Badge](https://jupyterbook.org/badge.svg)](https://kymatio.github.io/ismir23-tutorial)

[Cyrus Vahidi](http://cyrusvahidi.com)1, [Christopher Mitcheltree](https://christhetr.ee/)1 

 [Vincent Lostanlen](https://lostanlen.com/)2

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

```