An Efficient Implementation of Parallel Parametric HRTF Models for Binaural Sound Synthesis in Mobile Multimedia
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Títol
An Efficient Implementation of Parallel Parametric HRTF Models for Binaural Sound Synthesis in Mobile MultimediaData de publicació
2020-02-09Editor
IEEECita bibliogràfica
J. A. Belloch, G. Ramos, J. M. Badia and M. Cobos, "An Efficient Implementation of Parallel Parametric HRTF Models for Binaural Sound Synthesis in Mobile Multimedia," in IEEE Access, vol. 8, pp. 49562-49573, 2020, doi: 10.1109/ACCESS.2020.2979489.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://ieeexplore.ieee.org/abstract/document/9028216Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
The extended use of mobile multimedia devices in applications like gaming, 3D video and audio reproduction, immersive teleconferencing, or virtual and augmented reality, is demanding efficient algorithms and methodo ... [+]
The extended use of mobile multimedia devices in applications like gaming, 3D video and audio reproduction, immersive teleconferencing, or virtual and augmented reality, is demanding efficient algorithms and methodologies. All these applications require real-time spatial audio engines with the capability of dealing with intensive signal processing operations while facing a number of constraints related to computational cost, latency and energy consumption. Most mobile multimedia devices include a Graphics Processing Unit (GPU) that is primarily used to accelerate video processing tasks, providing high computational capabilities due to its inherent parallel architecture. This paper describes a scalable parallel implementation of a real-time binaural audio engine for GPU-equipped mobile devices. The engine is based on a set of head-related transfer functions (HRTFs) modelled with a parametric parallel structure, allowing efficient synthesis and interpolation while reducing the size required for HRTF data storage. Several strategies to optimize the GPU implementation are evaluated over a well-known kind of processor present in a wide range of mobile devices. In this context, we analyze both the energy consumption and real-time capabilities of the system by exploring different GPU and CPU configuration alternatives. Moreover, the implementation has been conducted using the OpenCL framework, guarantying the portability of the code. [-]
Proyecto de investigación
Spanish Ministry of Economy and Competitiveness (Grant RTI2018-097045-B-C21, Grant RTI2018-097045-B-C22, Grant TIN2017-82972-R, and Grant ESP2015-68245-C4-1-P) ; Universitat Jaume I (Project UJI-B2019-36).Drets d'accés
info:eu-repo/semantics/openAccess
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