dc.creatorDehghan Firoozabadi, Ali
dc.creatorIrarrazaval, Pablo
dc.creatorAdasme, Pablo
dc.creatorDurney, Hugo
dc.creatorSanhueza, Miguel
dc.creatorZabala-Blanco, David
dc.creatorAzurdia-Meza, Cesar A.
dc.date2020-11-17T15:43:50Z
dc.date2020-11-17T15:43:50Z
dc.date2020
dc.date.accessioned2022-10-18T12:13:10Z
dc.date.available2022-10-18T12:13:10Z
dc.identifierhttp://repositorio.ucm.cl/handle/ucm/3214
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4443469
dc.descriptionMultiple sound source localization is an important application in speech processing. In this paper, a cuboids nested microphone array (CuNMA) is proposed for sound acquisition. Also, the spatial aliasing is eliminated by the use of this array. Then, the subband processing is proposed based on the GammaTone filter bank. In the next, the generalized eigenvalue decomposition (GEVD) algorithm is implemented on all microphone pairs of CuNMA and for each obtained subband of the GammaTone filter bank. In each subband, the standard deviation (SD) is calculated for all direction of arrival (DOA) estimations, and the subbands with improper information are eliminated. Then, the K-means clustering with silhouette criteria are implemented on all DOAs for estimating the number of speakers and to allocate the related DOAs for each cluster. The proposed method is compared with steered response power-phase transform (SRP-PHAT), Geometric Projection, and spectral source model-deep neural network (SSM-DNN) on simulated data in noisy and reverberant conditions, which the results show the superiority of the proposed method in comparison with other previous works.
dc.languageen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourceAdvances in Intelligent Systems and Computing, 1261
dc.subjectSound source localization
dc.subjectNested microphone array
dc.subjectGammaTone filter bank
dc.subjectSubband processing
dc.subjectClustering
dc.titleSimultaneous sound source localization by proposed cuboids nested microphone array based on subband generalized eigenvalue decomposition
dc.typeArtículos de revistas


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