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A bayesian direction-of-arrival model for an undetermined number of sources using a two-microphone array

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A bayesian direction-of-arrival model for an undetermined number of sources using a two-microphone array

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dc.contributor.author Escolano Carrasco, José es_ES
dc.contributor.author Xiang, Ning es_ES
dc.contributor.author Pérez-Lorenzo, José M. es_ES
dc.contributor.author Cobos Serrano, Máximo es_ES
dc.contributor.author López Monfort, José Javier es_ES
dc.date.accessioned 2015-11-02T10:36:49Z
dc.date.issued 2014-02
dc.identifier.issn 0001-4966
dc.identifier.uri http://hdl.handle.net/10251/56846
dc.description.abstract Sound source localization using a two-microphone array is an active area of research, with considerable potential for use with video conferencing, mobile devices, and robotics. Based on the observed time-differences of arrival between sound signals, a probability distribution of the location of the sources is considered to estimate the actual source positions. However, these algorithms assume a given number of sound sources. This paper describes an updated research account on the solution presented in Escolano et al. [J. Acoust. Am. Soc. 132(3), 1257-1260 (2012)], where nested sampling is used to explore a probability distribution of the source position using a Laplacian mixture model, which allows both the number and position of speech sources to be inferred. This paper presents different experimental setups and scenarios to demonstrate the viability of the proposed method, which is compared with some of the most popular sampling methods, demonstrating that nested sampling is an accurate tool for speech localization. (C) 2014 Acoustical Society of America. es_ES
dc.description.sponsorship The authors are highly grateful to Dr. Jonathan Botts, Dr. Tomislav Jasa, Torben Pastore, and Cameron Fackler for their insightful comments. The work of J.E., M. C., and J.J.L. has been supported by the Spanish Ministry of Economy and Competitiveness supported this work under the projects TEC2012-37945-C02-01/01 and TEC2012-37945-C02-01/02. The work of J.M.P.L. has been supported by the Spanish Ministry of Economy and Competitiveness under the project TIN2012-38079-C03-03. en_EN
dc.language Inglés es_ES
dc.publisher Acoustical Society of America es_ES
dc.relation Spanish Ministry of Economy and Competitiveness TEC2012-37945-C02-01/01 es_ES
dc.relation Spanish Ministry of Economy and Competitiveness TEC2012-37945-C02-01/02 es_ES
dc.relation Spanish Ministry of Economy and Competitiveness TIN2012-38079-C03-03 es_ES
dc.relation.ispartof Journal of the Acoustical Society of America es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Sound source localization es_ES
dc.subject Microphone array es_ES
dc.subject Bayesian es_ES
dc.subject DOA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title A bayesian direction-of-arrival model for an undetermined number of sources using a two-microphone array es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1121/1.4861356
dc.rights.accessRights Cerrado 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 Escolano Carrasco, J.; Xiang, N.; Pérez-Lorenzo, JM.; Cobos Serrano, M.; López Monfort, JJ. (2014). A bayesian direction-of-arrival model for an undetermined number of sources using a two-microphone array. Journal of the Acoustical Society of America. 135(2):742-753. doi:10.1121/1.4861356 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1121/1.4861356 es_ES
dc.description.upvformatpinicio 742 es_ES
dc.description.upvformatpfin 753 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 135 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 281010 es_ES
dc.identifier.eissn 1520-8524


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