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Multichannel massive audio processing for a generalized crosstalk cancellation and equalization application using GPUs

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Multichannel massive audio processing for a generalized crosstalk cancellation and equalization application using GPUs

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dc.contributor.author Belloch Rodríguez, José Antonio es_ES
dc.contributor.author Gonzalez, Alberto es_ES
dc.contributor.author Martínez Zaldívar, Francisco José es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.date.accessioned 2014-06-24T07:33:02Z
dc.date.issued 2013-03
dc.identifier.issn 1069-2509
dc.identifier.uri http://hdl.handle.net/10251/38297
dc.description.abstract [EN] Multichannel acoustic signal processing has undergone major development in recent years due to the increased com- plexity of current audio processing applications, which involves the processing of multiple sources, channels, or filters. A gen- eral scenario that appears in this context is the immersive reproduction of binaural audio without the use of headphones, which requires the use of a crosstalk canceler. However, generalized crosstalk cancellation and equalization (GCCE) requires high com- puting capacity, which is a considerable limitation for real-time applications. This paper discusses the design and implementation of all the processing blocks of a multichannel convolution on a GPU for real-time applications. To this end, a very efficient fil- tering method using specific data structures is proposed, which takes advantage of overlap-save filtering and filter fragmentation. It has been shown that, for a real-time application with 22 inputs and 64 outputs, the system is capable of managing 1408 filters of 2048 coefficients with a latency time less than 6 ms. The proposed GPU implementation can be easily adapted to any acoustic environment, demonstrating the validity of these co-processors for managing intensive multichannel audio applications. es_ES
dc.description.sponsorship This work has been partially funded by Spanish Ministerio de Ciencia e Innovacion TEC2009-13741, Generalitat Valenciana PROMETEO 2009/2013 and GV/2010/027, and Universitat Politecnica de Valencia through Programa de Apoyo a la Investigacion y Desarrollo (PAID-05-11).
dc.format.extent 14 es_ES
dc.language Inglés es_ES
dc.publisher IOS Press es_ES
dc.relation MICINN/TEC2009-13741 es_ES
dc.relation GV/PROMETEO/2009/2013 es_ES
dc.relation GV/GV/2010/027 es_ES
dc.relation UPV/PAID-05-11 es_ES
dc.relation.ispartof Integrated Computer-Aided Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Crosstalk cancellation es_ES
dc.subject GPU es_ES
dc.subject Multichannel audio processing es_ES
dc.subject Convolution es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Multichannel massive audio processing for a generalized crosstalk cancellation and equalization application using GPUs es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.3233/ICA-130422
dc.rights.accessRights Abierto 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.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Belloch Rodríguez, JA.; Gonzalez, A.; Martínez Zaldívar, FJ.; Vidal Maciá, AM. (2013). Multichannel massive audio processing for a generalized crosstalk cancellation and equalization application using GPUs. Integrated Computer-Aided Engineering. 20(2):169-182. doi:10.3233/ICA-130422 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://iospress.metapress.com/content/g7828534435rg382/?issue=2&genre=article&spage=169&issn=1069-2509&volume=20 es_ES
dc.description.upvformatpinicio 169 es_ES
dc.description.upvformatpfin 182 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 246614
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Universitat Politècnica de València


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