000061477 001__ 61477
000061477 005__ 20210121114516.0
000061477 0247_ $$2doi$$a10.1186/s13636-015-0076-3
000061477 0248_ $$2sideral$$a93147
000061477 037__ $$aART-2015-93147
000061477 041__ $$aeng
000061477 100__ $$aCastán, D.$$uUniversidad de Zaragoza
000061477 245__ $$aAlbayzín-2014 evaluation: audio segmentation and classification in broadcast news domains
000061477 260__ $$c2015
000061477 5060_ $$aAccess copy available to the general public$$fUnrestricted
000061477 5203_ $$aAudio segmentation is important as a pre-processing task to improve the performance of many speech technology tasks and, therefore, it has an undoubted research interest. This paper describes the database, the metric, the systems and the results for the Albayzín-2014 audio segmentation campaign. In contrast to previous evaluations where the task was the segmentation of non-overlapping classes, Albayzín-2014 evaluation proposes the delimitation of the presence of speech, music and/or noise that can be found simultaneously. The database used in the evaluation was created by fusing different media and noises in order to increase the difficulty of the task. Seven segmentation systems from four different research groups were evaluated and combined. Their experimental results were analyzed and compared with the aim of providing a benchmark and showing up the promising directions in this field.
000061477 536__ $$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/TEC2012-38939-C03$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2011-28169-C05-02
000061477 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000061477 590__ $$a0.797$$b2015
000061477 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b175 / 257 = 0.681$$c2015$$dQ3$$eT3
000061477 591__ $$aACOUSTICS$$b21 / 30 = 0.7$$c2015$$dQ3$$eT3
000061477 592__ $$a0.326$$b2015
000061477 593__ $$aElectrical and Electronic Engineering$$c2015$$dQ2
000061477 593__ $$aAcoustics and Ultrasonics$$c2015$$dQ3
000061477 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000061477 700__ $$aTavarez, D.
000061477 700__ $$aLopez-Otero, P.
000061477 700__ $$aFranco-Pedroso, J.
000061477 700__ $$aDelgado, H.
000061477 700__ $$aNavas, E.
000061477 700__ $$aDocio-Fernández, L.
000061477 700__ $$aRamos, D.
000061477 700__ $$aSerrano, J.
000061477 700__ $$0(orcid)0000-0002-3886-7748$$aOrtega, A.$$uUniversidad de Zaragoza
000061477 700__ $$0(orcid)0000-0001-9137-4013$$aLleida, E.$$uUniversidad de Zaragoza
000061477 7102_ $$15008$$2X$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cProy. investigación JBA
000061477 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000061477 773__ $$g2015, 33 (2015), [9 pp.]$$pEURASIP j. audio, speech music. process.$$tEURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING$$x1687-4714
000061477 8564_ $$s879775$$uhttps://zaguan.unizar.es/record/61477/files/texto_completo.pdf$$yVersión publicada
000061477 8564_ $$s11452$$uhttps://zaguan.unizar.es/record/61477/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000061477 909CO $$ooai:zaguan.unizar.es:61477$$particulos$$pdriver
000061477 951__ $$a2021-01-21-11:00:08
000061477 980__ $$aARTICLE