Accession Number : AD0737751

Title :   On Speaker Identification,

Corporate Author : PURDUE UNIV LAFAYETTE IND SCHOOL OF ELECTRICAL ENGINEERING

Personal Author(s) : Su,Lo-soun

Report Date : JAN 1972

Pagination or Media Count : 21

Abstract : Automatic speaker identification was performed based on the statistical informaton extracted from power spectra of continuous speech. Nasal consonants extracted from the continuous speech have been proved to be the best features for speaker identification. Words without nasal consonants embeded are the least favorable. Both maximum correlation and minimum distance criteria are better than the minimum absolute difference criterion for speaker identification. (Author)

Descriptors :   (*SPEECH, IDENTIFICATION), AUTOMATIC, POWER SPECTRA, CORRELATION TECHNIQUES

Subject Categories : Non-radio Communications

Distribution Statement : APPROVED FOR PUBLIC RELEASE