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

nasals;spectral phase;speech recognition

Taylor, Jamie ; Robert Rodman, Committee Co-Chair,Donald Bitzer, Committee Co-Chair,David McAllister, Committee Co-Chair,Erik R. Thomas, Committee Member,Taylor, Jamie ; Robert Rodman ; Committee Co-Chair ; Donald Bitzer ; Committee Co-Chair ; David McAllister ; Committee Co-Chair ; Erik R. Thomas ; Committee Member

University:North Carolina State University

关键词: nasals;    spectral phase;    speech recognition;   

Others  :  https://repository.lib.ncsu.edu/bitstream/handle/1840.16/4639/etd.pdf?sequence=1&isAllowed=y

美国|英语

来源: null

【 摘 要 】

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%.