Predicting the Precision of Elevation Localization Based on Head Related Transfer Functions
Dick S, Herre J (2019)
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2019-May
Pages Range: 326-330
Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Event location: Brighton
ISBN: 9781479981311
DOI: 10.1109/ICASSP.2019.8682313
Abstract
While the human hearing capability for horizontally localized sound sources is mostly based on binaural cues, the localization of elevation along the »cones of confusion» can only rely on spectral cues provided by the directionality of head related transfer functions (HRTF). This paper explores how the magnitude of spectral differences between HRTF affects the availability of spectral cues to perceive and detect different elevations and hence limits localization accuracy. A method to predict localization accuracy is presented, based on analysis of the gradient of HRTF log-spectral differences for elevation positional changes. To this end, the localization accuracy is estimated from an HRTF database with 45 subjects. Validation of the results shows good agreement with results from subjective localization experiments reported in literature.
Authors with CRIS profile
Sascha Dick
International Audio Laboratories Erlangen (AudioLabs)
Jürgen Herre
Lehrstuhl für Audiocodierung (AudioLabs) (Stiftungslehrstuhl)
How to cite
APA:
Dick, S., & Herre, J. (2019). Predicting the Precision of Elevation Localization Based on Head Related Transfer Functions. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 326-330). Brighton, GB: Institute of Electrical and Electronics Engineers Inc..
MLA:
Dick, Sascha, and Jürgen Herre. "Predicting the Precision of Elevation Localization Based on Head Related Transfer Functions." Proceedings of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton Institute of Electrical and Electronics Engineers Inc., 2019. 326-330.
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