Skip to main content

A package with functionality for offline audio processing

Project description

aus

Introduction

This is a Python library for working with audio. It comes in two flavors - a regular Python version called pyaus, contained in the pyaus directory, and a Cython version called caus, contained in the caus directory. There is a separate directory called aus that is set up for building a package - at the moment, this directory contains a copy of the Cython version.

You can install this library from PyPi by running the command pip install aus-python. This will install the Cython version, which is only compiled for Windows at the moment. You can also build the package yourself on your own computer if you wish. Or you can use individual modules in the pyaus or caus directories.

Documentation

Documentation is available at https://aus.readthedocs.io/en/latest/.

Modules

The package is divided into 8 modules:

aus.analysis

Tools for spectral analysis and analysis of audio waveforms. Many of these tools are based on formulas from Florian Eyben's "Real-Time Speech and Music Classification," published by Springer in 2016. Among other things, this module computes spectral centroid, entropy, slope, and flatness.

aus.audiofile

This module is for reading and writing audio files, using either the pedalboard library or using (slower) code provided here.

aus.granulator

Funtionality for grain extraction

aus.operations

This module has various operations that can be performed on audio, such as spectral frame swapping, equal energy forcing, dc bias removal, and beat envelope generation.

aus.plot

Plotting functionality for audio and spectrum

aus.sampler

Tools for extracting samples from audio

aus.spectrum

Tools for spectral analysis

aus.synthesis

Tools for generating simple waveforms

Dependencies

You will need the following Python libraries: matplotlib, numpy, pedalboard, regex, scipy. You will also need Cython if you want to build the Cython version.

Building

To build this package, run python -m build.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aus_python-0.0.27.tar.gz (373.1 kB view details)

Uploaded Source

Built Distribution

aus_python-0.0.27-py3-none-any.whl (39.0 kB view details)

Uploaded Python 3

File details

Details for the file aus_python-0.0.27.tar.gz.

File metadata

  • Download URL: aus_python-0.0.27.tar.gz
  • Upload date:
  • Size: 373.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for aus_python-0.0.27.tar.gz
Algorithm Hash digest
SHA256 2bd2fbdbe1b008f287858c44693106a77c43baa6a58228409a5a8ec1564787e3
MD5 3266265327ca09c27e73fa4069eb8635
BLAKE2b-256 6876a540ffda76f8b2546e7dd32f4ba94d07865b3e0235bb1d4435f85ea3ffaa

See more details on using hashes here.

File details

Details for the file aus_python-0.0.27-py3-none-any.whl.

File metadata

  • Download URL: aus_python-0.0.27-py3-none-any.whl
  • Upload date:
  • Size: 39.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for aus_python-0.0.27-py3-none-any.whl
Algorithm Hash digest
SHA256 26767f9eb73e31d80b46669e8e5365e253cb940f4ef99096a08689b2cb073441
MD5 e07bf108de63f5a71e374e329396bf5a
BLAKE2b-256 cc1e8ad5b0f0c0894e1f3ae1d27fa40d5b0c335a76a12ba1028818f614b2c4f8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page