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Plenary Lecture
Application of GM(1,1) Model to
Speech Enhancement and Voice Activity Detection
Associate Professor Cheng-Hsiung Hsieh
Department of Computer Science and Information Engineering
Chaoyang University of Technology
Taiwan
E-mail: chhsieh@cyut.edu.tw
Abstract:
This talk is about the application of GM(1,1) model to speech enhancement
and voice activity detection. It consists of four parts: First, GM(1,1)
model is briefly reviewed. Second, a noise estimation scheme based on
GM(1,1) model is introduced which is called grey noise estimation (GNE).
Third, with GNE a magnitude spectral subtraction approach is given to
improve the quality of noisy speech. The approach is called the grey
magnitude spectral subtraction (GMSS). Finally, the GMSS is used as a
preprocessing scheme for voice activity detection (VAD). By an energy-based
VAD (EVAD), the enhanced speech by GMSS is segmented and determined as a
speech or non-speech segment. The approach presented here is called the GMSS/EVAD.
Brief Biography of the Speaker:
Cheng-Hsiung Hsieh received his B.S. degree in Electronic Engineering from
National Taiwan Institute of Technology, Taiwan, in 1989. In 1995, he earned
the M.S. degree from Department of Electrical Engineering of Tennessee
Technological University, USA. He obtained his Ph.D. degree in Electrical
Engineering from the University of Texas at Arlington, USA, in 1997. Since
1998, he has developed several grey models and schemes which have been
applied to signal processing and noise estimation. Those studies have been
published in journals and conferences. Currently, he is an associate
professor at Department of Computer Science and Information Engineering in
Chaoyang University of Technology, Taiwan. His researches of interest
include grey systems, artificial neural networks, digital video/image
processing, and speech signal processing.
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