The head-related transfer functions (HRTFs) describe individual acoustic transformation that sound sources undergo due to human anatomy before arriving at the left and right tympanic membranes. The resulting spectral modifications are the main localization cues for elevation detection in space. In this paper, synthetic HRTF mod- els able to render the vertical spatial dimension in virtual auditory displays, are evaluated via auditory models. Perceptually-motivated metrics describe the output of 4 virtual experiments that numeri- cally simulate real listening experiments for 20 virtual subjects. The current implementation considers a limited set of parameters for a structural model of the pinna acting as a proof-of-concept of such approach. Accordingly, results confirm that the research framework is a flexible tool for systematic evaluation of different instances of structural model.

Evaluating vertical localization performance of 3D sound rendering models with a perceptual metric / M. Geronazzo, A. Carraro, F. Avanzini - In: 2015 IEEE 2nd VR Workshop on Sonic Interactions for Virtual Environments (SIVE) / [a cura di] S. Serafin, F. Avanzini, M. Geronazzo, C Erkut, A. DeGoetzen, R. Nordahl. - [s.l] : IEEE, 2015. - ISBN 9781479919697. - pp. 53-57 (( Intervento presentato al 2. convegno VR Workshop on Sonic Interactions for Virtual Environments (SIVE) tenutosi a Arles nel 2015 [10.1109/SIVE.2015.7361293].

Evaluating vertical localization performance of 3D sound rendering models with a perceptual metric

F. Avanzini
2015

Abstract

The head-related transfer functions (HRTFs) describe individual acoustic transformation that sound sources undergo due to human anatomy before arriving at the left and right tympanic membranes. The resulting spectral modifications are the main localization cues for elevation detection in space. In this paper, synthetic HRTF mod- els able to render the vertical spatial dimension in virtual auditory displays, are evaluated via auditory models. Perceptually-motivated metrics describe the output of 4 virtual experiments that numeri- cally simulate real listening experiments for 20 virtual subjects. The current implementation considers a limited set of parameters for a structural model of the pinna acting as a proof-of-concept of such approach. Accordingly, results confirm that the research framework is a flexible tool for systematic evaluation of different instances of structural model.
Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Modeling and Simulation
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
2015
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/655085
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