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G. Moiragias, and J. Mourjopoulos, "An Evaluation Method for Temporal Spatial Sound Attributes," Paper 10644, (2023 May.). doi: G. Moiragias, and J. Mourjopoulos, "An Evaluation Method for Temporal Spatial Sound Attributes," Paper 10644, (2023 May.). doi:
Abstract: This work proposes a methodology for assessing temporal sound attributes, which can be applied to register time-varying perceptual attributes of audio signals reproduced via di?erent spatial systems. The proposed methodology is inspired by state of the art temporal sensory evaluation of food, and such concepts are integrated into current spatial sound evaluation approaches. Here, as an example, we consider the dynamic evaluation of the perceptual attribute of envelopment, time intensity of envelopment (TIE), for music samples reproduced in three di?erent spatial formats (mono, stereo and surround 5.0). The work describes a proposal for appropriate listening tests and data collection, along with a novel method for post-screening and extracting reliable temporal attributes from the listener assessments. A thorough description of each component of the listening test is given and a novel methodology is proposed for assessing the agreement of the listening panel and reducing the noise of the obtained data, based on non-centered Principal Component Analysis and hierarchical clustering algorithms.

@article{moiragias2023an,
author={moiragias, george and mourjopoulos, john},
journal={journal of the audio engineering society},
title={an evaluation method for temporal spatial sound attributes},
year={2023},
volume={},
number={},
pages={},
doi={},
month={may},} @article{moiragias2023an,
author={moiragias, george and mourjopoulos, john},
journal={journal of the audio engineering society},
title={an evaluation method for temporal spatial sound attributes},
year={2023},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this work proposes a methodology for assessing temporal sound attributes, which can be applied to register time-varying perceptual attributes of audio signals reproduced via di?erent spatial systems. the proposed methodology is inspired by state of the art temporal sensory evaluation of food, and such concepts are integrated into current spatial sound evaluation approaches. here, as an example, we consider the dynamic evaluation of the perceptual attribute of envelopment, time intensity of envelopment (tie), for music samples reproduced in three di?erent spatial formats (mono, stereo and surround 5.0). the work describes a proposal for appropriate listening tests and data collection, along with a novel method for post-screening and extracting reliable temporal attributes from the listener assessments. a thorough description of each component of the listening test is given and a novel methodology is proposed for assessing the agreement of the listening panel and reducing the noise of the obtained data, based on non-centered principal component analysis and hierarchical clustering algorithms.},}

TY - Spatial Perception
TI - An Evaluation Method for Temporal Spatial Sound Attributes
SP - EP -
AU - Moiragias, George
AU - Mourjopoulos, John
PY - 2023
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2023 TY - Spatial Perception
TI - An Evaluation Method for Temporal Spatial Sound Attributes
SP - EP -
AU - Moiragias, George
AU - Mourjopoulos, John
PY - 2023
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2023
AB - This work proposes a methodology for assessing temporal sound attributes, which can be applied to register time-varying perceptual attributes of audio signals reproduced via di?erent spatial systems. The proposed methodology is inspired by state of the art temporal sensory evaluation of food, and such concepts are integrated into current spatial sound evaluation approaches. Here, as an example, we consider the dynamic evaluation of the perceptual attribute of envelopment, time intensity of envelopment (TIE), for music samples reproduced in three di?erent spatial formats (mono, stereo and surround 5.0). The work describes a proposal for appropriate listening tests and data collection, along with a novel method for post-screening and extracting reliable temporal attributes from the listener assessments. A thorough description of each component of the listening test is given and a novel methodology is proposed for assessing the agreement of the listening panel and reducing the noise of the obtained data, based on non-centered Principal Component Analysis and hierarchical clustering algorithms.