AES E-Library

AES E-Library

A Python library for Multichannel Acoustic Signal Processing

Document Thumbnail

The programming language Python is receiving increasing attention among the audio research community, partially motivated by the growth of data science and machine learning fields, and its potential applications. In this work we present a Python library for acoustic simulation and microphone array processing, with a special focus on spherical geometries. More specifically, the library provides a shoebox impulse response generator, a microphone array response simulator with arbitrary geometries and sensor directivities, and a set of methods for signal dependent and independent processing in the spherical harmonic domain.

Open Access


AES Convention: eBrief:
Publication Date:

Download Now (263 KB)

This paper is Open Access which means you can download it for free.

Learn more about the AES E-Library

The Engineering Briefs at this Convention were selected on the basis of a submitted synopsis, ensuring that they are of interest to AES members, and are not overly commercial. These briefs have been reproduced from the authors' advance manuscripts, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for their contents. Paper copies are not available, but any member can freely access these briefs. Members are encouraged to provide comments that enhance their usefulness.

Start a discussion about this paper!

AES - Audio Engineering Society