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

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 process...

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Bibliographic Details
Main Authors: Adrian Ang, Ee-Luang Ang, Premkumar, A.B., Madhukumar, A.S.
Format: Conference Proceeding
Language:English
Subjects:
Colored noise
Discrete wavelet transforms
Noise robustness
Signal processing
Speech analysis
Speech coding
Speech enhancement
Speech processing
Time frequency analysis
Wiener filter
Online Access:Request full text
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Summary: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.
DOI:10.1109/TENCON.1997.647252