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Sound-model-based acoustic source localization using distributed microphone arrays
dc.contributor.author | Chakraborty, Rupayan |
dc.contributor.author | Nadeu Camprubí, Climent |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2014-11-06T18:11:04Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Chakraborty , R.; Nadeu, C. Sound-model-based acoustic source localization using distributed microphone arrays. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014". Florència: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 619-623. |
dc.identifier.isbn | 978-1-4799-2894-1 |
dc.identifier.uri | http://hdl.handle.net/2117/24581 |
dc.description.abstract | Acoustic source localization and sound recognition are common acoustic scene analysis tasks that are usually considered separately. In this paper, a new source localization technique is proposed that works jointly with an acoustic event detection system. Given the identities and the end-points of simultaneous sounds, the proposed technique uses the statistical models of those sounds to compute a likelihood score for each model and for each signal at the output of a set of null-steering beamformers per microphone array. Those scores are subsequently combined to find the MAP-optimal event source positions in the room. Experimental work is reported for a scenario consisting of meeting-room acoustic events, either isolated or overlapped with speech. From the localization results, which are compared with those from the SRP-PHAT technique, it seems that the proposed model-based approach can be an alternative to current techniques for event-based localization. © 2014 IEEE. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic |
dc.subject | Àrees temàtiques de la UPC::Física::Acústica |
dc.subject.lcsh | Speech processing systems |
dc.subject.lcsh | Signal processing |
dc.subject.other | Acoustic event detection |
dc.subject.other | Beamforming |
dc.subject.other | Simultaneous sources |
dc.subject.other | Sound model |
dc.subject.other | Source localization |
dc.title | Sound-model-based acoustic source localization using distributed microphone arrays |
dc.type | Conference report |
dc.subject.lemac | Processament de la parla |
dc.subject.lemac | Tractament del senyal |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.identifier.doi | 10.1109/ICASSP.2014.6853670 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6853670 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 15206382 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Chakraborty , R.; Nadeu, C. |
local.citation.contributor | IEEE International Conference on Acoustics, Speech, and Signal Processing |
local.citation.pubplace | Florència |
local.citation.publicationName | 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014 |
local.citation.startingPage | 619 |
local.citation.endingPage | 623 |