Identification of synthetic vowels based on a time-varying model of the vocal tract area function

被引:9
作者
Bunton, Kate [1 ]
Story, Brad H. [1 ]
机构
[1] Univ Arizona, Dept Speech Language & Hearing Sci, Speech Acoust Lab, Tucson, AZ 85721 USA
关键词
acoustic signal processing; bioacoustics; biomechanics; speech recognition; AMERICAN ENGLISH VOWELS; PARAMETERIZATION; PERCEPTION; SPEAKER; FEMALE; FLOW;
D O I
10.1121/1.3313921
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The purpose of this study was to conduct an identification experiment with synthetic vowels based on the same sets of speaker-dependent area functions as in Bunton and Story [(2009) J. Acoust. Soc. Am. 125, 19-22], but with additional time-varying characteristics that are more representative of natural speech. The results indicated that vowels synthesized using an area function model that allows for time variation of the vocal tract shape and includes natural vowel durations were more accurately identified for 7 of 11 English vowels than those based on static area functions.
引用
收藏
页码:EL146 / EL152
页数:7
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