Speech enhancement with natural sounding residual noise based on connected time-frequency speech presence regions

Authors:
Karsten Vandborg Sørensen;Søren Vang Andersen
Affiliations:
Department of Communication Technology, Aalborg University, Aalborg East, Denmark;Department of Communication Technology, Aalborg University, Aalborg East, Denmark
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

Citing 3
Cited 1

Time series: data analysis and theory

Time series: data analysis and theory
Discrete Time Processing of Speech Signals

Discrete Time Processing of Speech Signals
Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac )

Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac )

Low-cost modifications of Rao-Blackwellized particle filters for improved speech denoising

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose time-frequency domain methods for noise estimation and speech enhancement. A speech presence detection method is used to find connected time-frequency regions of speech presence. These regions are used by a noise estimationmethod and both the speech presence decisions and the noise estimate are used in the speech enhancement method. Different attenuation rules are applied to regions with and without speech presence to achieve enhanced speech with natural sounding attenuated background noise. The proposed speech enhancement method has a computational complexity, which makes it feasible for application in hearing aids. An informal listening test shows that the proposed speech enhancement method has significantly higher mean opinion scores than minimum mean-square error log-spectral amplitude (MMSE-LSA) and decision-directed MMSE-LSA.