AES Engineering Briefs Forum

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.

No AES members have commented on this paper yet.

Subscribe to this discussion

RSS Feed To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.

AES - Audio Engineering Society