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dc.contributor.authorMcKenna, John
dc.contributor.authorIsard, Stephen
dc.date.accessioned2006-05-26T16:43:35Z
dc.date.available2006-05-26T16:43:35Z
dc.date.issued1999
dc.identifier.citationIn Proc. Eurospeech '99, volume 6, pages 2793-2796, Budapest, 1999.en
dc.identifier.govdochttp://www.isca-speech.org/archive/eurospeech_1999/index.html
dc.identifier.urihttp://hdl.handle.net/1842/1195
dc.description.abstractThis paper describes a method for obtaining smoothed vocal tract parameters from analysis during the closed phase of the glottis. The method is based upon Expectation Maximisation (EM) and uses Kalman-Rauch forward-backward iterations through a voiced segment, in which the speech data during excitation and open phases are excluded by treating them as ‘missing data’. This approach exploits the non-independence of neighbouring spectra and compensates for small numbers of available points, while preserving speaker-characteristic information and tracking variations in it. The vocal tract filter parameters are then used for inverse filtering the speech, thus obtaining estimates of the source excitation. The extracted excitation signal can be used to excite other sets of parameters to produce natural sounding speech.en
dc.format.extent553415 bytes
dc.format.extent189116 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherInternational Speech Communication Associationen
dc.titleTailoring kalman filtering towards speaker characterisation.en
dc.typeConference Paperen


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