https://github.com/rclement/yodel

The Swiss Army knife for your sound
https://github.com/rclement/yodel

Last synced: 3 months ago
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The Swiss Army knife for your sound

• Host: GitHub
• URL: https://github.com/rclement/yodel
• Owner: rclement
• License: mit
• Created: 2014-07-05T15:22:41.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2015-04-08T21:13:15.000Z (about 11 years ago)
• Last Synced: 2025-03-18T17:56:38.173Z (about 1 year ago)
• Language: Python
• Homepage:
• Size: 504 KB
• Stars: 18
• Watchers: 3
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
Description

===========

[![Build Status](https://travis-ci.org/rclement/yodel.svg?branch=develop)](https://travis-ci.org/rclement/yodel)

[![Coverage Status](https://coveralls.io/repos/rclement/yodel/badge.png?branch=develop)](https://coveralls.io/r/rclement/yodel?branch=develop)

[![ReadTheDocs Status](https://readthedocs.org/projects/yodel/badge/?version=latest)](https://readthedocs.org/projects/yodel)

[![PyPI](http://img.shields.io/pypi/dm/yodel.svg)](https://pypi.python.org/pypi/yodel)

[Yodel](http://www.romainclement.com/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.

Features

========

* 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

Installation

============

Simply run: `pip install yodel`

Documentation

=============

The complete API documentation can be found at [ReadTheDocs](http://yodel.readthedocs.org/en/latest/).

For code examples, check out the `demo` folder inside the project repository.

Contact

=======

Any questions or comments about Yodel? Let me know at [contact@romainclement.com](mailto:contact@romainclement.com).

Changelog

=========

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

License

=======

The MIT License (MIT)

Copyright (c) 2014 Romain Clement