Publication: An efficient implementation of parallel parametric HRTF models for binaural sound synthesis in mobile multimedia
dc.affiliation.dpto | UC3M. Departamento de Tecnología Electrónica | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Diseño Microelectrónico y Aplicaciones (DMA) | es |
dc.contributor.author | Belloch Rodríguez, José Antonio | |
dc.contributor.author | Ramos, Germán | |
dc.contributor.author | Badía, José Manuel | |
dc.contributor.author | Cobos, Máximo | |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | es |
dc.date.accessioned | 2022-11-30T13:16:43Z | |
dc.date.available | 2022-11-30T13:16:43Z | |
dc.date.issued | 2020-03-09 | |
dc.description.abstract | 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. | en |
dc.description.sponsorship | This work was supported in part by the Spanish Ministry of Economy and Competitiveness under Grant RTI2018-097045-B-C21, Grant RTI2018-097045-B-C22, Grant TIN2017-82972-R, and Grant ESP2015-68245-C4-1-P, and in part by the Universitat Jaume I Project UJI-B2019-36. | en |
dc.format.extent | 12 | es |
dc.identifier.bibliographicCitation | Belloch, J. A., Ramos, G., Badia, J. M., & Cobos, M. (2020). An efficient implementation of parallel parametric HRTF models for binaural sound synthesis in mobile multimedia. IEEE access: practical innovations, open solutions, 8, 49562–49573. | en |
dc.identifier.doi | https://doi.org/10.1109/ACCESS.2020.2979489 | |
dc.identifier.issn | 2169-3536 | |
dc.identifier.publicationfirstpage | 49562 | es |
dc.identifier.publicationlastpage | 49573 | es |
dc.identifier.publicationtitle | IEEE Access | en |
dc.identifier.publicationvolume | 8 | es |
dc.identifier.uri | https://hdl.handle.net/10016/36134 | |
dc.identifier.uxxi | AR/0000029566 | |
dc.language.iso | eng | en |
dc.publisher | IEEE | en |
dc.relation.projectID | Gobierno de España. ESP2015-68245-C4-1-P | es |
dc.relation.projectID | Gobierno de España. RTI2018-097045-B-C21 | es |
dc.relation.projectID | Gobierno de España. RTI2018-097045-B-C22 | es |
dc.relation.projectID | Gobierno de España. TIN2017-82972-R | es |
dc.rights | CCBY - IEEE is not the copyright holder of this material | en |
dc.rights | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | en |
dc.rights | Atribución 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject.eciencia | Electrónica | es |
dc.subject.other | Binaural synthesis | en |
dc.subject.other | Hrtf modeling | en |
dc.subject.other | Gpu | en |
dc.subject.other | Parallel filters | en |
dc.subject.other | Parametric model | en |
dc.subject.other | Interpolation | en |
dc.title | An efficient implementation of parallel parametric HRTF models for binaural sound synthesis in mobile multimedia | en |
dc.type | research article | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
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