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Text-independent speaker identification using neural nets and AR-vector models

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4 Author(s)
Hadjitodorov, S. ; Central Lab. of Biomed. Eng., Bulgarian Acad. of Sci., Sofia ; Boyanov, B.B. ; Ivanov, T. ; Dalakchieva, N.

A method for speaker identification based on the analysis of four sets of speech parameters is proposed. The recognition is carried out by means of two classifiers: the first is based on self-organising Kohonen maps a new prototype distribution map and a new similarity measure, and the second on AR-vector models. The final decision is realised by a voting principle using the classifiers' decisions

Published in:
Electronics Letters  (Volume:30 ,  Issue: 11 )

Date of Publication: 26 May 1994

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