Using Phase Characteristics of Speech to Distinguish /m/ and /n/

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Title: Using Phase Characteristics of Speech to Distinguish /m/ and /n/
Author: Taylor, Jamie
Advisors: Robert Rodman, Committee Co-Chair
Donald Bitzer, Committee Co-Chair
David McAllister, Committee Co-Chair
Erik R. Thomas, Committee Member
Abstract: A method is presented for extracting a useful phase signal from natural input speech. The phase signal is then processed to extract signatures for ⁄m⁄ and ⁄n⁄ based on the variance of the phase. An average signature is created for each of 8 speakers using three utterances of each ⁄m⁄ and ⁄n⁄. This average signature is then used to classify unknown input utterances. Classification accuracy averages 75%.
Date: 2006-04-13
Degree: PhD
Discipline: Computer Science
URI: http://www.lib.ncsu.edu/resolver/1840.16/4639


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