Time-frequency plane Wiener filtering for robust processing of speech signals

被引：0

作者：

Ang, A ^{[1
]}

Ang, EL ^{[1
]}

Premkumar, AB ^{[1
]}

Madhukumar, AS ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Appl Sci, Singapore 639798, Singapore

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：

This paper uses discrete wavelet transforms together with Wiener filtering to enhance noisy speech for further processing. The speech signal is mixed with various levels of white and coloured noises and decomposed into several levels using wavelet analysis. The output signal at each level is processed separately using iterative Wiener filtering. An efficient speech coding system is developed for the enhanced speech bands.

引用

页码：35 / 38

页数：4

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