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We propose a novel audio pre-equalization model that utilizes the transmission characteristics of building structures to reduce the interference reaching adjacent neighbors while maintaining the audio quality for the target listener. The audio transmission profiles are obtained by field acoustical measurements in several typical types of building structures. We also measure the spectrum of audio to adapt the pre-equalization model to a specific audio segment. We apply a computational auditory model to (1) monitor the perceptual audio quality for the target listener and (2) access the interference caused to adjacent neighbors. The system performance is then evaluated using subjective rating experiments.
Author (s): Shu, Cheng; Ke, Fangyu; Zhou, Xiang; Ren, Gang; Bocko, Mark F.
Affiliation:
University of Rochester, Rochester, NY, USA; Bose Corporation, Framingham, MA, USA
(See document for exact affiliation information.)
AES Convention: 135
Paper Number:8987
Publication Date:
2013-10-06
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Session subject:
Applications in Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=17035
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Shu, Cheng; Ke, Fangyu; Zhou, Xiang; Ren, Gang; Bocko, Mark F.; 2013; Audio Pre-Equalization Models for Building Structural Sound Transmission Suppression [PDF]; University of Rochester, Rochester, NY, USA; Bose Corporation, Framingham, MA, USA; Paper 8987; Available from: https://aes2.org/publications/elibrary-page/?id=17035
Shu, Cheng; Ke, Fangyu; Zhou, Xiang; Ren, Gang; Bocko, Mark F.; Audio Pre-Equalization Models for Building Structural Sound Transmission Suppression [PDF]; University of Rochester, Rochester, NY, USA; Bose Corporation, Framingham, MA, USA; Paper 8987; 2013 Available: https://aes2.org/publications/elibrary-page/?id=17035
@article{shu2013audio,
author={shu cheng and ke fangyu and zhou xiang and ren gang and bocko mark f.},
journal={journal of the audio engineering society},
title={audio pre-equalization models for building structural sound transmission suppression},
year={2013},
number={8987},
month={october},}