Speaker identification using features based on first order Bessel function expansion of speech

被引：0
|
作者：
Gopalan, K
Anderson, TR
Cupples, EJ
机构：
来源：
1997 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS 1 AND 2: PACRIM 10 YEARS - 1987-1997 | 1997年
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中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The similarity between voiced speech and the Bessel functions yields a compact representation of speech using the nonsinusoidal Bessel functions. This paper presents the results of speaker identification experiments using features obtained from the first order Bessel function expansion of speech frames. Identification results on two large data bases using features based on {J(t)} expansion showed scores ranging from 55 % to 75 %. The scores depended on the indices of the Bessel functions used in the feature representation.
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页码：589 / 592
页数：4
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