Title Investigation of the speaker identification method based on clustered pseudostationary segments of voiced sounds /
Translation of Title Kalbėtojo identifikavimo metodo, grįsto vokalizuotų garsų klasterizuotais pseudostacionariais segmentais, tyrimas.
Authors Treigys, Povilas ; Lipeika, Antanas Leonas
Full Text Download
Is Part of Ūkio technologinis ir ekonominis vystymas. 2006, Vol. 12, no. 1, p. 50-55.. ISSN 1392-8619
Keywords [eng] Speaker ; Data clustering ; Vector quantization ; Time consumption ; Errors ; Sounds, voiced
Abstract [eng] The problem of speaker identification is investigated. Basic segments - pseudo stationary intervals of voiced sounds are used for identification. The identification is carried out, comparing average distances between an investigative and comparatives. The coefficients of the linear prediction model (LPC) of a vocal tract are used as features of identification. Such a problem arises in stenographic practice where it is important for speech identification to know who is speaking. Identification should be used in stenography and it has to be fast enough in order not to disturb the stenographer's job. The clustered parameter data will be investigated by providing the performance of the speaker identification method with respect to the computational time and the number of errors.
Type Journal article
Language English
Publication date 2006