Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
The objective evaluation of speech intelligibility of sound systems using the Speech Transmission Index (STI) is nowadays common practice. This paper discusses various aspects of optimizing intelligibility of sound systems for public spaces as driven by regulatory standards and client requirements. New workflows, utilizing acoustic modelling software and targeted towards the optimization of the STI, are showcased. Parameters such as predicted loudspeaker coverage, reflections, signal and noise levels, and corresponding spectra are considered. Special emphasis is put on the investigation of the effects of signal and noise masking. Results from real-world examples reveal a strong correlation between STI predictions and measurements.
Author (s): Feistel, Stefan; Ponteggia, Daniele
Affiliation:
AFMG Technologies GmbH, Berlin, Germany; Studio Ponteggia, Terni, Italy
(See document for exact affiliation information.)
Publication Date:
2024-01-06
Import into BibTeX
Session subject:
Acoustics & Sound Reinforcment
Permalink: https://aes2.org/publications/elibrary-page/?id=22372
(782KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Feistel, Stefan; Ponteggia, Daniele; 2024; Optimizing Speech Intelligibility in Practical Applications using State-of-the-Art Acoustic Simulation Tools [PDF]; AFMG Technologies GmbH, Berlin, Germany; Studio Ponteggia, Terni, Italy; Paper 2; Available from: https://aes2.org/publications/elibrary-page/?id=22372
Feistel, Stefan; Ponteggia, Daniele; Optimizing Speech Intelligibility in Practical Applications using State-of-the-Art Acoustic Simulation Tools [PDF]; AFMG Technologies GmbH, Berlin, Germany; Studio Ponteggia, Terni, Italy; Paper 2; 2024 Available: https://aes2.org/publications/elibrary-page/?id=22372
@article{feistel2024optimizing,
author={feistel stefan and ponteggia daniele},
journal={journal of the audio engineering society},
title={optimizing speech intelligibility in practical applications using state-of-the-art acoustic simulation tools},
year={2024},
number={2},
month={january},}