Efficient adaptation text design based on the Kullback-Leibler measure

被引：0
|
作者：
Cui, XD [1 ]
Alwan, A [1 ]
机构：
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
来源：
2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS | 2002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：
This paper proposes an efficient algorithm for the automatic selection of sentences given a desired phoneme distribution. The algorithm is based on the Kullback-Leibler measure under the criterion of minimum cross-entropy. One application of this algorithm is the design of adaptation text for automatic speech recognition with a particular phoneme distribution. The algorithm is efficient and flexible, especially in the case of limited text size. Experimental results verify the advantage of this approach.
引用
收藏
页码：613 / 616
页数：4
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