Localization Properties of Data-based Binaural Synthesis including Translatory Head-Movements
نویسندگان
چکیده
Binaural synthesis of plane wave decomposed spherical microphone data using head-related transfer functions (HRTFs) is a well-known approach for auralization. Rotational head movements can be considered by dynamic rotation of the HRTF dataset. Translatory head movements are coped by spatio-temporal shifts of the individual planes waves. This paper analyses this auralization method with respect to the localization of sound sources. The algorithm’s performance is evaluated with respect to the accuracy achieved by a binaural model utilized for localization. The influence and effects of spatial sampling (number of plane waves) and the translatory head-movement are investigated. In addition, the modal resolution is taken into account.
منابع مشابه
Data-based Binaural Synthesis Including Rotational and Translatory Head-Movements
Several approaches to data-based binaural synthesis have been published that are based on the analysis of sound fields captured by spherical microphone arrays. The captured sound field is decomposed into plane waves which are then auralized with head-related transfer functions (HRTFs). So far head-rotations of the listener were considered for dynamic binaural synthesis. We propose an analytic m...
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