A Python library for Multichannel Acoustic Signal Processing

Perez-Lopez A, Politis A. A Python library for Multichannel Acoustic Signal Processing. In: AES Convention 148. Audio Engineering Society; 2020. Paper 569. Available from: https://aes.org/publications/elibrary-page/?id=20807

@inproceedings{PerezLopez2020_20807,
  author = {Perez-Lopez, Andres and Politis, Archontis},
  title = {{A Python library for Multichannel Acoustic Signal Processing}},
  booktitle = {AES Convention 148},
  note = {Paper 569},
  year = {2020},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20807}
}

TY  - CPAPER
TI  - A Python library for Multichannel Acoustic Signal Processing
AU  - Perez-Lopez, Andres
AU  - Politis, Archontis
T2  - AES Convention 148
M1  - Paper 569
PY  - 2020
DA  - 2020/05/06
UR  - https://aes.org/publications/elibrary-page/?id=20807
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -