Feature extraction frame work for content-based music analysis

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  • License: BSD License (BSD 3-Clause License)
  • Author: Michael Blaß
  • Tags music , analysis , feature extraction
  • Requires: Python >=3.7
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Project description

Apollon

Apollon is a Python framework for audio feature extraction and music similarity estimation. It includes subpackages for

  • Audio feature extraction
  • Hidden Markov Models
  • Self-Organizing Map

This is the fork maintained by Rolf Bader (canonical repository on Codeberg). It is the foundation of the apollon / chainsaddiction / comsar stack. For the full manual and installation guide covering all three packages see the comsar repository.

1. Installation

1.1 Install from PyPI (recommended, no compiler needed)

Pre-compiled wheels are provided for Windows, macOS and Linux (CPython 3.9–3.13). Just run:

pip install bader-apollon

The import name is unchanged — you still write import apollon in your code.

1.2 Install from source

Building from source requires a C compiler (MSVC Build Tools on Windows, the Xcode Command Line Tools on macOS, gcc/clang on Linux) plus NumPy:

pip install .

2. Documentation

See the comsar manual for the full documentation of the whole stack.

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  • License: BSD License (BSD 3-Clause License)
  • Author: Michael Blaß
  • Tags music , analysis , feature extraction
  • Requires: Python >=3.7
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0.1.6

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BLAKE2b-256 92f8c2545c83651695cee4a5a4ee462b28884d0a110980d0906fe745d4680189

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Provenance

The following attestation bundles were made for bader_apollon-0.1.5-cp39-cp39-macosx_10_9_universal2.whl:

Publisher: wheels.yml on bader28/apollon

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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