DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement

Name: DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement
Author: Hendriks, Richard C.|Gerkmann, Timo|Jensen, Jesper
ISBN: 9783031014369

Hendriks, Richard C.|Gerkmann, Timo|Jensen, Jesper

Language: English

Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2013

3031014367 / 9783031014369

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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As speech processing devices like mobile phones, voice controlled devices, and hearing aids have increased in popularity, people expect them to work anywhere and at any time without user intervention. However, the presence of acoustical disturbances limits .

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Title: DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement
Author: Hendriks, Richard C.|Gerkmann, Timo|Jensen, Jesper
Publisher: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer
Publication year: 2013
Condition: New
Binding: Soft cover
Language: English
ISBN 10: 3031014367
ISBN 13: 9783031014369
Seller catalogs: Mathematik/Naturwissenschaften/Technik/Medizin

About the Author

Dr. ir. Richard C. Hendriks obtained his M.Sc. and Ph. D. degrees (both cum laude) in electrical engineering from Delft University of Technology, Delft, The Netherlands, in 2003 and 2008, respectively. From 2003 till 2007 he was a Ph.D. researcher at Delft University of Technology, Delft, The Netherlands. From 2007 till 2010 he was a postdoctoral researcher at Delft University of Technology. Since 2010 he is an assistant professor in the Signal and Information Processing Lab of the faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. In the autumn of 2005, he was a Visiting Researcher at the Institute of Communication Acoustics, Ruhr-University Bochum, Bochum, Germany. From March 2008 till March 2009 he was a visiting researcher at Oticon A/S, Copenhagen, Denmark. His main research interests are digital speech and audio processing, including single-channel and multi-channel acoustical noise reduction, speech enhancement and intelligibility improvement.

Prof. Dr.-Ing. Timo Gerkmann studied electrical engineering at the universities of Bremen and Bochum, Germany. He received his Dipl.-Ing. degree in 2004 and his Dr.-Ing. degree in 2010 both at the Institute of Communication Acoustics (IKA) at the Ruhr- Universitat Bochum, Bochum, Germany. From January 2005 to July 2005 he was with Siemens Corporate Research in Princeton, NJ, USA. In 2011 he was a postdoctoral researcher at the Sound and Image Processing Lab at the Royal Institute of Technology (KTH), Stockholm, Sweden. Since December 2011 he heads the Speech Signal Processing Group at the Universitat Oldenburg, Oldenburg, Germany. His main research interests are on speech enhancement algorithms and modeling of speech signals.

Jesper Jensen received the M.Sc. degree in electrical engineering and the Ph.D. degree in signal processing from Aalborg University, Aalborg, Denmark, in 1996 and 2000, respectively. From 1996 to 2000, he was with the Center for Person Kommunikation (CPK), Aalborg University, as a Ph.D. student and Assistant Research Professor. From 2000 to 2007, he was a Post-Doctoral Researcher and Assistant Professor with Delft University of Technology, Delft, The Netherlands, and an External Associate Professor with Aalborg University. Currently, he is a Senior Researcher with Oticon A/S, Copenhagen, Denmark, where his main responsibility is scouting and development of new signal processing concepts for hearing aid applications. He is also a Professor with the Section for Multimedia Information and Signal Processing (MISP), Department of Electronic Systems at Aalborg University, Denmark. His main interests are in the area of acoustic signal processing, including signal retrieval from noisy observations, coding, speech and audio modification and synthesis, intelligibility enhancement of speech signals, signal processing for hearing aid applications, and perceptual aspects of signal processing.

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