Advances in Multimicrophone Speech Processing
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Editorial Advances in Multimicrophone Speech Processing ¨ Bitzer,3 Israel Cohen,4 Simon Doclo,5 Sharon Gannot,1 Jacob Benesty,2 Jorg 6 Rainer Martin, and Sven Nordholm7 1 School
of Engineering, Bar-Ilan University, Ramat-Gan, 52900, Israel University of Quebec, 800 de la Gauchetiere Ouest, Montreal, QC, Canada H5A 1K6 3 Institute of Audiology and Hearing Science, University of Applied Sciences, Oldenburg/Ostfriesland/Wilhelmshaven Ofener Street 16, 26121 Oldenburg, Germany 4 Department of Electrical Engineering, Technion — Israel Institute of Technology, Technion City, Haifa 32000, Israel 5 Department of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium 6 Institute of Communication Acoustics, Ruhr-Universitaet Bochum, 44780 Bochum, Germany 7 Western Australian Telecommunications Research Institute, The University of Western Australia, 35 Stirling Hwy, Crawley, 6009, Australia 2 INRS-EMT,
Received 18 January 2006; Accepted 18 January 2006 Copyright © 2006 Sharon Gannot et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Speech quality may significantly deteriorate in the presence of interference, especially when the speech signal is also subject to reverberation. Consequently, modern communication systems, such as cellular phones, employ some speech enhancement procedure at the preprocessing stage, prior to further processing (e.g., speech coding). Generally, the performance of single-microphone techniques is limited, since these techniques can utilize only spectral information. Especially for the dereverberation problem, no adequate single-microphone enhancement techniques are presently available. Hence, in many applications, such as hands-free mobile telephony, voice-controlled systems, teleconferencing, and hearing instruments, a growing tendency exists to move from single-microphone systems to multimicrophone systems. Although multimicrophone systems come at an increased cost, they exhibit the advantage of incorporating both spatial and spectral information. The use of multimicrophone systems raises many practical considerations such as tracking the desired speech source, and robustness to unknown microphone positions. Furthermore, due to the increased computational load, real-time algorithms are more difficult to obtain and hence the efficiency of the algorithms becomes a major issue. The main focus of this special issue is on emerging methods for speech processing using multimicrophone arrays. In the following, the specific contributions are summarized and grouped according to their topic. It is interesting to note that
none of the papers deal with the important and difficult problem of dereverberation. Speaker separation In the paper “Speaker separation and tracking system,” Anliker et al. propose a two-stage integrated speaker separation and tracking system. This is an important prob
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