A Parallel Approach to HRTF Approximation and Interpolation Based on a Parametric Filter Model
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Otros documentos de la autoría: Ramos, German; Cobos, Maximo; Bank, Balázs; BELLOCH, JOSE A.
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Título
A Parallel Approach to HRTF Approximation and Interpolation Based on a Parametric Filter ModelFecha de publicación
2017-10Editor
Institute of Electrical and Electronics Engineers (IEEE)Cita bibliográfica
RAMOS, German, et al. A Parallel Approach to HRTF Approximation and Interpolation Based on a Parametric Filter Model. IEEE Signal Processing Letters, 2017, vol. 24, no 10, p. 1507-1511.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ieeexplore.ieee.org/abstract/document/8013136/Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
Spatial audio-rendering techniques using head-related transfer functions (HRTFs) are currently used in many different contexts such as immersive teleconferencing systems, gaming, or 3-D audio reproduction. Since all ... [+]
Spatial audio-rendering techniques using head-related transfer functions (HRTFs) are currently used in many different contexts such as immersive teleconferencing systems, gaming, or 3-D audio reproduction. Since all these applications usually involve real-time constraints, efficient processing structures for HRTF modeling and interpolation are necessary for providing real-time binaural audio solutions. This letter presents a parametric parallel model that allows us to perform HRTF filtering and interpolation efficiently from an input HRTF dataset. The resulting model, which is an adaptation from a recently proposed modeling technique, not only reduces the size of HRTF datasets significantly, but also allows for simplified interpolation and real-time computation over parallel processors. In order to discuss the suitability of this new model, an implementation over a graphic processing unit is presented. [-]
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