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Conference Paper

pyloudnorm: A simple yet flexible loudness meter in Python

Authors: Steinmetz, Christian J.; Reiss, Joshua

AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020) · Paper 10483 · August 2020

Abstract

The ITU-R BS.1770 recommendation for measuring the perceived loudness of audio signals has seen widespread adoption in broadcasting. Due to its simplicity, this algorithm has now found applications across audio signal processing. Here we describe pyloudnorm, a Python package that enables the measurement of integrated loudness following the recommendation. While a number of implementations are available, ours provides an easy-to-install package, a simple interface, and the ability to adjust the algorithm parameters, a feature that others neglect. We outline the design of pyloudnorm and discuss a set of modifications based upon recent literature that improve the robustness of loudness measurements. We perform an evaluation comparing accuracy and runtime with six other implementations, demonstrating that pyloudnorm is both fully compliant and one of the fastest options.

Details

Published in
AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
Paper number
10483
Publication date
August 6, 2020
Session subject
Acoustic Measurement
Affiliation
Queen Mary University of London, London, UK (See document for exact affiliation information.)
Type
Conference Paper