This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation). Since both the desired speech and undesired noise are filtered at the same time, the most critical issue of speech enhancement resides in how to design a proper optimal filter that can fully take advantage of the difference between the speech and noise statistics to mitigate the noise effect as much as possible while maintaining the speech perception identical to its original form. The optimal filters can be designed either in the time domain or in a transform space. As the title indicates, this book will focus on developing and analyzing optimal filters in the Karhunen-Loève expansion (KLE) domain. We begin by describing the basic problem of speech enhancement and the fundamental principles to solve it in the time domain. We then explain how the problem can be equivalently formulated in the KLE domain. Next, we divide the general problem in the KLE domain into four groups, depending on whether interframe and interband information is accounted for, leading to four linear models for speech enhancement in the KLE domain. For each model, we introduce signal processing measures to quantify the performance of speech enhancement, discuss the formation of different cost functions, and address the optimization of these cost functions for the derivation of different optimal filters. Both theoretical analysis and experiments will be provided to study the performance of these filters and the links between the KLE-domain and time-domain optimal filters will be examined. Table of Contents: Introduction / Problem Formulation / Optimal Filters in the Time Domain / Linear Models for Signal Enhancement in the KLE Domain / Optimal Filters in the KLE Domain with Model 1 / Optimal Filtersin the KLE Domain with Model 2 / Optimal Filters in the KLE Domain with Model 3 / Optimal Filters in the KLE Domain with Model 4 / Experimental Study

Autorentext

Constantin Paleologu was born in Romania in 1975. In 1998 he received the M.S. degree in telecommunications networks from the Faculty of Electronics, Telecommunications, and Information Technology, University Politehnica of Bucharest, Romania. He also received a masters degree in digital signal processing in 1999, and a Ph.D. degree (MAGNA CUM LAUDE) in adaptive signal processing in 2003, both from the same institution. As a Ph.D. student (from December 1999 to July 2003), he worked on adaptive filters and echo cancellation. Since October 1998 he has been with the Telecommunications Department, University Politehnica of Bucharest where he is currently an Associate Professor. His research interests include adaptive signal processing, speech enhancement, and multimedia communications. He received the ""IN HOC SIGNO VINCES"" award from the Romanian National Research Council in 2009. He was the co-chair of the 2008 International Conference on Computing in the Global Information Technology (ICCGI). He is a member of the Steering Committee of the 2010 International Conference on Digital Telecommunications (ICDT). He serves as the Editor-in-Chief of the International Journal on Advances in Systems and Measurements. He is a Fellow of the International Academy, Research, and Industry Association (IARIA) since 2008.Jacob Benesty was born in 1963. He received the Masters degree in microwaves from Pierre & Marie Curie University, France, in 1987, and the Ph.D. degree in control and signal processing from Orsay University, France, in April 1991. During his Ph.D. program (from November 1989 to April 1991), he worked on adaptive filters and fast algorithms at the Centre National d'Etudes des Telecommunications (CNET), Paris, France. From January 1994 to July 1995, he worked at Telecom Paris University on multichannel adaptive filters and acoustic echo cancellation. From October 1995 to May 2003, he was first a Consultant and then a Member of the Technical Staff at Bell Laboratories, Murray Hill, NJ, USA. In May 2003, he joined INRS-EMT, University of Quebec, in Montreal, Quebec, Canada, as a Professor. His research interests are in signal processing, acoustic signal processing,and multimedia communications.Dr.Benesty received the 2001 and 2008 Best Paper Awards from the IEEE Signal Processing Society. He was a member of the editorial board of the EURASIP Journal on Applied Signal Processing, a member of the IEEE Audio & Electroacoustics Technical Committee, the co-chair of the 1999 International Workshop on Acoustic Echo and Noise Control (IWAENC), and the general co-chair of the 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). Dr. Benesty co-authored and co-edited many books in the area of acoustic signal processing.Silviu Ciochina received the M.S. degree in electronics and telecommunications in 1971 and the Ph.D. degree in communications in 1978, both from the University Politehnica of Bucharest, Romania. From 1971 to 1979, he was an Assistant Professor, and from 1979 to 1995 a Lecturer at the University Politehnica of Bucharest, Faculty of Electronics, Telecommunications, and Information Technology. Since 1995, he has been a Professor at the same faculty. Since 2004, he has been the Head of the Telecommunications Department. His main research interests are in the areas of signal processing and wireless communications, including adaptive algorithms, spectrum estimation, fast algorithms, channel estimation, multi-antenna systems, and broadband wireless technologies. He received the ""Traian Vuia"" award in 1981 and the ""Gheorghe Cartianu"" award in 1997, both from the Romanian Academy.

Inhalt
Introduction.- Problem Formulation.- Optimal Filters in the Time Domain.- Linear Models for Signal Enhancement in the KLE Domain.- Optimal Filters in the KLE Domain with Model 1.- Optimal Filters in the KLE Domain with Model 2.- Optimal Filters in the KLE Domain with Model 3.- Optimal Filters in the KLE Domain with Model 4.- Experimental Study.