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The Swiss Army knife for your sound

Project description


Build Status Coverage Status ReadTheDocs Status PyPI

Yodel (the Swiss Army knife for your sound) is an easy-to-use Python package for digital audio signal processing, analysis and synthesis. It is meant to provide a comprehensive set of tools to manipulate audio signals. It can be used for prototyping as well as developing audio applications in Python.


  • Analysis:

    • Discrete Fourier Transform

    • Fast Fourier Transform

    • Windowing: Hamming, Hanning, Blackman

  • Filtering:

    • Single Pole: low-pass, high-pass

    • Biquad: low-pass, high-pass, band-pass, all-pass, notch, peak, low-shelf, high-shelf

    • State Variable: low-pass, high-pass, band-pass, band-reject

    • Parametric Equalizer

    • Comb: feedforward, feedback, all-pass

    • Convolution: standard, fast

    • Windowed Sinc: low-pass, high-pass, band-pass, band-reject

    • Custom

  • Delay:

    • Time-varying delayline


Simply run: pip install yodel


The complete API documentation can be found at ReadTheDocs. For code examples, check out the demo folder inside the project repository.


Any questions or comments about Yodel? Let me know at


Version 0.3.0

  • New delay module with time-varying delayline

  • New filters: Comb, Convolution, FastConvolution, Custom, Windowed Sinc

Version 0.2.0

  • Fix flat frequency response for biquad filter

  • Renaming ‘AnalysisWindow’ class to ‘Window’ in analysis module

  • Better documentation (include classes constructors)

  • New filters: single pole, state variable, parametric equalizer

Version 0.1.2

  • More complete README

  • Fix Python package long description (use README.rst)

  • ReadTheDocs integration

  • Integrate extra folders in distribution (test, demo, docs)

Version 0.1.1

  • Renaming the project to Yodel

  • Better packaging for PyPI

Version 0.1.0

  • First release of Damn!

  • Signal analysis module:

    • Discrete Fourier Transform

    • Fast Fourier Transform

    • Analysis windows (Hanning, Hamming, Blackman)

  • Filtering module:

    • Biquad filter

  • Utility modules for complex numbers and conversions


The MIT License (MIT)

Copyright (c) 2014 Romain Clement

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