Robust model based methods for speech enhancement

被引：0
|
作者：
Einicke, GA [1 ]
White, LB [1 ]
机构：
[1] CSIRO, Kenmore, Qld 4069, Australia
来源：
IEEE TENCON'97 - IEEE REGIONAL 10 ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2: SPEECH AND IMAGE TECHNOLOGIES FOR COMPUTING AND TELECOMMUNICATIONS | 1997年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper compares the performance of Kalman filter and hidden Markov model approaches for the recovery of speech from FM signals within impulsive noise environments. Two applications of speech recovery are investigated, namely within demodulation and post demodulation. Simulation studies are presented which illustrate the best case and worst case performance trends.
引用
收藏
页码：471 / 474
页数：4
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