dc.contributor.author | Malegaonkar, A. | |
dc.contributor.author | Ariyaeeinia, A. | |
dc.contributor.author | Sivakumaran, P. | |
dc.contributor.author | Fortuna, J. | |
dc.date.accessioned | 2007-07-03T14:17:00Z | |
dc.date.available | 2007-07-03T14:17:00Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Malegaonkar , A , Ariyaeeinia , A , Sivakumaran , P & Fortuna , J 2006 , ' Unsupervised Speaker Change Detection using Probabilistic Pattern Matching ' , IEEE Signal Processing Letters , vol. 13 , no. 8 , pp. 509-512 . | |
dc.identifier.issn | 1070-9908 | |
dc.identifier.other | dspace: 2299/110 | |
dc.identifier.uri | http://hdl.handle.net/2299/110 | |
dc.description | Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
dc.description.abstract | This letter presents an investigation into the use of a probabilistic pattern matching approach for detecting speaker changes in audio streams. The experiments are conducted using clean speech as well as broadcast news material. It is shown that, in the proposed approach, the use of bilateral scoring is considerably more effective than unilateral scoring. Appropriate score normalization methods are considered in the study. It is observed that in all the cases, the bilateral scoring approach outperforms the currently popular method of Bayesian information criterion (BIC) for speaker change detection. This letter discusses the principles of the proposed approach and details the experimental investigations. | en |
dc.format.extent | 124147 | |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Signal Processing Letters | |
dc.title | Unsupervised Speaker Change Detection using Probabilistic Pattern Matching | en |
dc.contributor.institution | School of Engineering and Technology | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.contributor.institution | School of Computer Science | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |