Publication: Offline speaker segmentation using genetic algorithms and mutual information
dc.affiliation.dpto | UC3M. Departamento de Teoría de la Señal y Comunicaciones | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Procesado Multimedia | es |
dc.contributor.author | Salcedo Sanz, Sancho | |
dc.contributor.author | Gallardo Antolín, Ascensión | |
dc.contributor.author | Leiva Murillo, José Miguel | |
dc.contributor.author | Bousoño Calzón, Carlos | |
dc.date.accessioned | 2021-06-18T10:05:49Z | |
dc.date.available | 2021-06-18T10:05:49Z | |
dc.date.issued | 2006-04 | |
dc.description.abstract | We present an evolutionary approach to speaker segmentation, an activity that is especially important prior to speaker recognition and audio content analysis tasks. Our approach consists of a genetic algorithm (GA), which encodes possible segmentations of an audio record, and a measure of mutual information between the audio data and possible segmentations, which is used as fitness function for the GA. We introduce a compact encoding of the problem into the GA which reduces the length of the GA individuals and improves the GA convergence properties. Our algorithm has been tested on the segmentation of real audio data, and its performance has been compared with several existing algorithms for speaker segmentation, obtaining very good results in all test problems. | en |
dc.description.sponsorship | This work was supported in part by the Universidad de Alcalá under Project UAH PI2005/078. | en |
dc.format.extent | 12 | |
dc.identifier.bibliographicCitation | Salcedo-Sanz, S., Gallardo-Antolin, A., Leiva-Murillo, J. & Bousono-Calzon, C. (2006). Offline speaker segmentation using genetic algorithms and mutual information. IEEE Transactions on Evolutionary Computation, 10(2), pp. 175–186. | en |
dc.identifier.doi | https://doi.org/10.1109/TEVC.2005.857079 | |
dc.identifier.issn | 1089-778X | |
dc.identifier.publicationfirstpage | 175 | |
dc.identifier.publicationissue | 2 | |
dc.identifier.publicationlastpage | 186 | |
dc.identifier.publicationtitle | IEEE Transactions on Evolutionary Computation | en |
dc.identifier.publicationvolume | 10 | |
dc.identifier.uri | https://hdl.handle.net/10016/32890 | |
dc.identifier.uxxi | AR/0000001065 | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.rights | © 2006, IEEE | |
dc.rights.accessRights | open access | en |
dc.subject.eciencia | Telecomunicaciones | es |
dc.subject.other | Genetic Algorithms (GAs) | en |
dc.subject.other | Mutual information | en |
dc.subject.other | Speaker segmentation | en |
dc.subject.other | Unsupervised learning | en |
dc.title | Offline speaker segmentation using genetic algorithms and mutual information | en |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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