Title :
Text-independent speaker identification using neural nets and AR-vector models
Author :
Hadjitodorov, S. ; Ivanov, T.
Author_Institution :
Central Lab. of Biomed. Eng., Bulgarian Acad. of Sci., Sofia
fDate :
5/26/1994 12:00:00 AM
Abstract :
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
Keywords :
classification; neural nets; self-organising feature maps; speech recognition; AR-vector models; classifier decisions; neural nets; prototype distribution map; self-organising Kohonen maps; similarity measure; speech classification; speech parameters; speech recognition; text-independent speaker identification; voting principle;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940587
