Fractional Fourier transform features for speech recognition

被引：0
|
作者：
Sarikaya, R [1 ]
Gao, YQ [1 ]
Saon, G [1 ]
机构：
[1] IBM Corp, TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA
来源：
2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING | 2004年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper a novel speech signal representation method is presented. The proposed method is based on the Fractional Fourier transform (FrFT), which is a generalization of the classical Fourier transform (FT). Even though we use FrFT in feature extraction for speech recognition, it can very well be used in other areas such as enhancement, verification, and synthesis, where parametric representation of speech is needed. Experimental results conducted on the Aurora 2 database show significant improvements over MFCCs at high SNR conditions.
引用
收藏
页码：529 / 532
页数：4
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