Audio Pre-Equalization Models for Building Structural Sound Transmission Suppression
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C. Shu, F. Ke, X. Zhou, G. Ren, and MA. F.. Bocko, "Audio Pre-Equalization Models for Building Structural Sound Transmission Suppression," Paper 8987, (2013 October.). doi:
C. Shu, F. Ke, X. Zhou, G. Ren, and MA. F.. Bocko, "Audio Pre-Equalization Models for Building Structural Sound Transmission Suppression," Paper 8987, (2013 October.). doi:
Abstract: 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.
@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},
volume={},
number={},
pages={},
doi={},
month={october},}
@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},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}
TY - paper
TI - Audio Pre-Equalization Models for Building Structural Sound Transmission Suppression
SP -
EP -
AU - Shu, Cheng
AU - Ke, Fangyu
AU - Zhou, Xiang
AU - Ren, Gang
AU - Bocko, Mark F.
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2013
TY - paper
TI - Audio Pre-Equalization Models for Building Structural Sound Transmission Suppression
SP -
EP -
AU - Shu, Cheng
AU - Ke, Fangyu
AU - Zhou, Xiang
AU - Ren, Gang
AU - Bocko, Mark F.
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2013
AB - 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.
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.
Authors:
Shu, Cheng; Ke, Fangyu; Zhou, Xiang; Ren, Gang; Bocko, Mark F.
Affiliations:
University of Rochester, Rochester, NY, USA; Bose Corporation, Framingham, MA, USA(See document for exact affiliation information.)
AES Convention:
135 (October 2013)
Paper Number:
8987
Publication Date:
October 16, 2013Import into BibTeX
Subject:
Applications in Audio
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17035