doi:10.1186/s13636-014-0034-5engCastán, D.Ortega, A.Miguel, A.Lleida, E.Audio segmentation-by-classification approach based on factor analysis in broadcast news domainART-2014-89130This paper studies a novel audio segmentation-by-classification approach based on factor analysis. The proposed technique compensates the within-class variability by using class-dependent factor loading matrices and obtains the scores by computing the log-likelihood ratio for the class model to a non-class model over fixed-length windows. Afterwards, these scores are smoothed to yield longer contiguous segments of the same class by means of different back-end systems. Unlike previous solutions, our proposal does not make use of specific acoustic features and does not need a hierarchical structure. The proposed method is applied to segment and classify audios coming from TV shows into five different acoustic classes: speech, music, speech with music, speech with noise, and others. The technique is compared to a hierarchical system with specific acoustic features achieving a significant error reduction.2014http://zaguan.unizar.es/record/6314710.1186/s13636-014-0034-5http://zaguan.unizar.es/record/63147oai:zaguan.unizar.es:63147info:eu-repo/grantAgreement/ES/MINECO/TIN2011-28169-C05-02EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING 2014, 1 (2014), 1-13byhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccess