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.

Authors: Perez-Lopez, Andres; Politis, Archontis
Affiliations: Eurecat, Centre Tecnologic de Catalunya - Universitat Pompeu Fabra; Faculty of Information Technology and Communication Sciences, Audio Research Group, Tampere University(See document for exact affiliation information.)
AES Convention: 148 (May 2020) eBrief:569
Publication Date: May 28, 2020 Import into BibTeX
Subject: Posters: Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=20807

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