A Modular Framework for the Analysis and Synthesis of Head-Related Transfer Functions
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M. Geronazzo, S. Spagnol, and F. Avanzini, "A Modular Framework for the Analysis and Synthesis of Head-Related Transfer Functions," Paper 8882, (2013 May.). doi:
M. Geronazzo, S. Spagnol, and F. Avanzini, "A Modular Framework for the Analysis and Synthesis of Head-Related Transfer Functions," Paper 8882, (2013 May.). doi:
Abstract: The paper gives an overview of a number of tools for the analysis and synthesis of head-related transfer functions (HRTFs) that we have developed in the past four years at the Department of Information Engineering, University of Padova, Italy. The main objective of our study in this context is the progressive development of a collection of algorithms for the construction of a totally synthetic personal HRTF set replacing both cumbersome and tedious individual HRTF measurements and the exploitation of inaccurate non-individual HRTF sets. Our research methodology is highlighted, along with the multiple possibilities of present and future research offered by such tools.
@article{geronazzo2013a,
author={geronazzo, michele and spagnol, simone and avanzini, federico},
journal={journal of the audio engineering society},
title={a modular framework for the analysis and synthesis of head-related transfer functions},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{geronazzo2013a,
author={geronazzo, michele and spagnol, simone and avanzini, federico},
journal={journal of the audio engineering society},
title={a modular framework for the analysis and synthesis of head-related transfer functions},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={the paper gives an overview of a number of tools for the analysis and synthesis of head-related transfer functions (hrtfs) that we have developed in the past four years at the department of information engineering, university of padova, italy. the main objective of our study in this context is the progressive development of a collection of algorithms for the construction of a totally synthetic personal hrtf set replacing both cumbersome and tedious individual hrtf measurements and the exploitation of inaccurate non-individual hrtf sets. our research methodology is highlighted, along with the multiple possibilities of present and future research offered by such tools.},}
TY - paper
TI - A Modular Framework for the Analysis and Synthesis of Head-Related Transfer Functions
SP -
EP -
AU - Geronazzo, Michele
AU - Spagnol, Simone
AU - Avanzini, Federico
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
TY - paper
TI - A Modular Framework for the Analysis and Synthesis of Head-Related Transfer Functions
SP -
EP -
AU - Geronazzo, Michele
AU - Spagnol, Simone
AU - Avanzini, Federico
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
AB - The paper gives an overview of a number of tools for the analysis and synthesis of head-related transfer functions (HRTFs) that we have developed in the past four years at the Department of Information Engineering, University of Padova, Italy. The main objective of our study in this context is the progressive development of a collection of algorithms for the construction of a totally synthetic personal HRTF set replacing both cumbersome and tedious individual HRTF measurements and the exploitation of inaccurate non-individual HRTF sets. Our research methodology is highlighted, along with the multiple possibilities of present and future research offered by such tools.
The paper gives an overview of a number of tools for the analysis and synthesis of head-related transfer functions (HRTFs) that we have developed in the past four years at the Department of Information Engineering, University of Padova, Italy. The main objective of our study in this context is the progressive development of a collection of algorithms for the construction of a totally synthetic personal HRTF set replacing both cumbersome and tedious individual HRTF measurements and the exploitation of inaccurate non-individual HRTF sets. Our research methodology is highlighted, along with the multiple possibilities of present and future research offered by such tools.
Authors:
Geronazzo, Michele; Spagnol, Simone; Avanzini, Federico
Affiliation:
University of Padova, Padova, Italy
AES Convention:
134 (May 2013)
Paper Number:
8882
Publication Date:
May 4, 2013Import into BibTeX
Subject:
Spatial Audio
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=16783