Abstract
Individual Head-Related Transfer Functions (HRTFs) are necessary for the accurate rendering of virtual scenes. However, their acquisition is challenging given the complex pinna shape. Numerical methods can be leveraged to compute HRTFs on meshes originating from precise scans of a subject. Although photogrammetry can be used for the scanning, its inaccuracy might affect the spatial cues of simulated HRTFs. This paper aims to assess the significance of the photogrammetric error affecting a Neumann KU100 dummy head scan. The geometrical differences between the photogrammetric scan and a laser scan are mainly located at the pinna cavities. The computed photogrammetric HRTFs, compared to measured and simulated data using objective and perceptually inspired metrics, show deviation in high frequency spectral features, stemming from the photogrammetric scanning error. This spectral deviation hinders the modelled elevation perception with photogrammetric HRTFs to levels comparable to renderings with nonindividual data. Extracting the photogrammetric geometry at individual ear cavities and merging it to the laser mesh, an assessment of the influence of the inaccuracy at different pinna structures is conducted. Correlation analysis between acoustic and geometrical metrics computed on the results is used to identify the most relevant geometrical metrics in relation to the HRTFs.
Subject
Electrical and Electronic Engineering,Speech and Hearing,Computer Science Applications,Acoustics and Ultrasonics
Reference54 articles.
1. Blauert J.: Spatial hearing: the psychophysics of human sound localization, revised edn., The MIT Press. 1996.
2. Burge M., Burger W.: Ear biometrics in computer vision, in: Proceedings 15th International Conference on Pattern Recognition. IEEE, 2000, pp. 822–826.
3. Modeling sound-source localization in sagittal planes for human listeners
4. Zhong X.-L., Xie B.-S.: Head-related transfer functions and virtual auditory display, in: Glotin H. (Ed.), Chapter 6: Soundscape Semiotics – Localisation and Categorisation, vol. 1, IntechOpen, 2014, pp. 99–134.
5. Role of spectral cues in median plane localization