Prof. Dr.-Ing. Rai­ner Mar­tin

Communication Acoustics

Ruhr-Uni­ver­si­ty Bo­chum
Faculty of Electrical Engineering and Information Technology
Communication Acoustics
Postbox ID 36
Uni­ver­si­täts­stra­ße 150
D-44801 Bo­chum

Office Hours:
by appointment

ID 2/233

(+49)(0)234 / 32 - 22496

(+49)(0)234 / 32 - 14165



Curriculum Vitae

Rainer Martin received the Dipl.-Ing. and Dr.-Ing. degrees from RWTH Aachen University, Aachen, Germany, in 1988 and 1996, respectively, and the M.S.E.E. degree from Georgia Institute of Technology, Atlanta, in 1989. From 1996 to 2002, he was a Senior Research Engineer with the Institute of Communication Systems and Data Processing, RWTH Aachen University. From April 1998 to March 1999, he was on leave to the AT&T Speech and Image Processing Services Research Lab, Florham Park, NJ. From April 2002 until October 2003, he was a Professor of Digital Signal Processing at the Technische Universität Braunschweig, Braunschweig, Germany.

Since October 2003, he has been a Professor of Information Technology and Communication Acoustics at Ruhr-Universität Bochum, Bochum, Germany, and from October 2007 to September 2009 Dean of the Electrical Engineering and Information Sciences Department. His research interests are signal processing for voice communication systems, hearing instruments, and human–machine interfaces.

He is coauthor with P. Vary of Digital Speech Transmission – Enhancement, Coding and Error Concealment (Wiley, 2006) and coeditor with U. Heute and C. Antweiler of Advances in Digital Speech Transmission (Wiley, 2008). Dr. Martin served as an Associate Editor for the IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING and is a member of the Audio and Acoustic Signal Processing Technical Committee (AASP) of the IEEE Signal Processing Society. He is a Fellow of the IEEE.

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The Institute of Communication Acoustics is actively engaged in the area of speech and audio signal processing. We welcome students wishing to do their student projects Bachelor- and Masters' theses with us and offer the opportunity to participate in, and contribute to advancing the technologies in this field.

Speech is not only the most important means of communication between humans, but it also plays an important role in speech controlled human-machine interfaces.

Speech signal processing encompasses a wide range of topics, e.g.,

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