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GPU-Based Dynamic Wave Field Synthesis Using Fractional Delay Filters and Room Compensation

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GPU-Based Dynamic Wave Field Synthesis Using Fractional Delay Filters and Room Compensation

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dc.contributor.author Belloch, Jose A. es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.contributor.author Quintana-Orti, Enrique S. es_ES
dc.contributor.author Ferrer Contreras, Miguel es_ES
dc.contributor.author Välimäki, Vesa es_ES
dc.date.accessioned 2020-10-31T04:32:15Z
dc.date.available 2020-10-31T04:32:15Z
dc.date.issued 2017-02 es_ES
dc.identifier.issn 1558-7916 es_ES
dc.identifier.uri http://hdl.handle.net/10251/153784
dc.description © © 2017 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. es_ES
dc.description.abstract [EN] Wave field synthesis (WFS) is a multichannel audio reproduction method, of a considerable computational cost that renders an accurate spatial sound field using a large number of loudspeakers to emulate virtual sound sources. The moving of sound source locations can be improved by using fractional delay filters, and room reflections can be compensated by using an inverse filter bank that corrects the room effects at selected points within the listening area. However, both the fractional delay filters and the room compensation filters further increase the computational requirements of the WFS system. This paper analyzes the performance of a WFS system composed of 96 loudspeakers which integrates both strategies. In order to deal with the large computational complexity, we explore the use of a graphics processing unit (GPU) as a massive signal co-processor to increase the capabilities of the WFS system. The performance of the method as well as the benefits of the GPU acceleration are demonstrated by considering different sizes of room compensation filters and fractional delay filters of order 9. The results show that a 96-speaker WFS system that is efficiently implemented on a state-of-art GPU can synthesize the movements of 94 sound sources in real time and, at the same time, can manage 9216 room compensation filters having more than 4000 coefficients each. es_ES
dc.description.sponsorship This work was supported in part by the European Union together with Spanish Government under Grants TEC2015-67387-C41-R and TIN2014-53495-R (MINECO/FEDER) and in part by the Generalitat Valenciana under Grant PROMETEOII/2014/003. The work of J. A. Belloch was supported by the postdoctoral fellowship from Generalitat Valenciana under Grant APOSTD/2016/069 es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//TIN2014-53495-R/ES/COMPUTACION HETEROGENEA DE BAJO CONSUMO/ es_ES
dc.relation GV/APOSTD/2016/069 es_ES
dc.relation GENERALITAT VALENCIANA/PROMETEOII/2014/003 es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//TEC2015-67387-C4-1-R/ES/SMART SOUND PROCESSING FOR THE DIGITAL LIVING/ es_ES
dc.relation.ispartof IEEE Transactions on Audio Speech and Language Processing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Audio systems es_ES
dc.subject Interpolation es_ES
dc.subject Parallel architectures es_ES
dc.subject Parallel processing es_ES
dc.subject Signal synthesis es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title GPU-Based Dynamic Wave Field Synthesis Using Fractional Delay Filters and Room Compensation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TASLP.2016.2631338 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.description.bibliographicCitation Belloch, JA.; Gonzalez, A.; Quintana-Orti, ES.; Ferrer Contreras, M.; Välimäki, V. (2017). GPU-Based Dynamic Wave Field Synthesis Using Fractional Delay Filters and Room Compensation. IEEE Transactions on Audio Speech and Language Processing. 25(2):435-447. https://doi.org/10.1109/TASLP.2016.2631338 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/TASLP.2016.2631338 es_ES
dc.description.upvformatpinicio 435 es_ES
dc.description.upvformatpfin 447 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\326170 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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