Wavelet-Based Speech Enhancement Using Time-Adapted Noise Estimation

Authors:
Sheau-Fang Lei;Ying-Kai Tung
Affiliations:
-;-
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2008

Citing 6
Cited 0

A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator

Journal of VLSI Signal Processing Systems
Speech enhancement using hybrid gain factor in critical-band-wavelet-packet transform

Digital Signal Processing
Tracking speech-presence uncertainty to improve speech enhancement in non-stationary noise environments

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Perceptual speech coding and enhancement using frame-synchronizedfast wavelet packet transform algorithms

IEEE Transactions on Signal Processing
De-noising by soft-thresholding

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

Spectral subtraction is commonly used for speech enhancement in a single channel system because of the simplicity of its implementation. However, this algorithm introduces perceptually musical noise while suppressing the background noise. We propose a wavelet-based approach in this paper for suppressing the background noise for speech enhancement in a single channel system. The wavelet packet transform, which emulates the human auditory system, is used to decompose the noisy signal into critical bands. Wavelet thresholding is then temporally adjusted with the noise power by time-adapted noise estimation. The proposed algorithm can efficiently suppress the noise while reducing speech distortion. Experimental results, including several objective measurements, show that the proposed wavelet-based algorithm outperforms spectral subtraction and other wavelet-based denoising approaches for speech enhancement for nonstationary noise environments.