S. Feistel and D. Ponteggia, “Optimizing Speech Intelligibility in Practical Applications using State-of-the-Art Acoustic Simulation Tools,” in Proc. AES Conference: AES 2024 International Acoustics & Sound Reinforcement Conference, Jan. 2024, Paper 2. [Online]. Available: https://aes.org/publications/elibrary-page/?id=22372
Feistel S, Ponteggia D. Optimizing Speech Intelligibility in Practical Applications using State-of-the-Art Acoustic Simulation Tools. In: AES Conference: AES 2024 International Acoustics & Sound Reinforcement Conference. Audio Engineering Society; 2024. Paper 2. Available from: https://aes.org/publications/elibrary-page/?id=22372
@inproceedings{Feistel2024_22372,
author = {Feistel, Stefan and Ponteggia, Daniele},
title = {{Optimizing Speech Intelligibility in Practical Applications using State-of-the-Art Acoustic Simulation Tools}},
booktitle = {AES Conference: AES 2024 International Acoustics \& Sound Reinforcement Conference},
note = {Paper 2},
year = {2024},
month = jan,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=22372}
}
TY - CPAPER
TI - Optimizing Speech Intelligibility in Practical Applications using State-of-the-Art Acoustic Simulation Tools
AU - Feistel, Stefan
AU - Ponteggia, Daniele
T2 - AES Conference: AES 2024 International Acoustics & Sound Reinforcement Conference
M1 - Paper 2
PY - 2024
DA - 2024/01/06
UR - https://aes.org/publications/elibrary-page/?id=22372
PB - Audio Engineering Society
LA - en
AB - 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.
ER -