Digital Signal Processing for Hearing Instruments
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Editorial Digital Signal Processing for Hearing Instruments Heinz G. G¨ockler (EURASIP Member),1 Henning Puder,2 Hugo Fastl,3 Sven Erik Nordholm,4 Torsten Dau,5 and Walter Kellermann6 1 Digital
Signal Processing Group, Ruhr-Universit¨at Bochum, 44780 Bochum, Germany Audiologische Technik GmbH, 91058 Erlangen, Germany 3 Institute for Human-Machine Communication, Technische Universit¨ at M¨unchen, 80333 M¨unchen, Germany 4 Signal Processing Laboratory, Western Australian Telecommunications Research Institute (WATRI), Crawley, WA 6009, Australia 5 Centre for Applied Hearing Research, Acoustic Technology, Department of Electrical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark 6 Multimedia Communications and Signal Processing, Universit¨ at Erlangen-N¨urnberg, 91058 Erlangen, Germany 2 Siemens
Correspondence should be addressed to Heinz G. G¨ockler, [email protected] Received 26 October 2009; Accepted 26 October 2009 Copyright © 2009 Heinz G. G¨ockler 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.
Hearing, as a prerequisite of listening, presumably represents the most important pillar of human’s ability to communicate with each other. Hence, engineers of all denominations, physicists, and physicians have always been creative both to improve the environmental conditions of hearing and to ameliorate the individual hearing capability. Digital signal processing for hearing instruments has been an active field of research and industrial development for more than 25 years. As a result, these efforts have eventually paid off and, thus, opened big markets for digital hearing aids and cochlear implants which, in turn, promote and accelerate related research and development. Certainly, the present state-of-the-art of hearing instruments has highly profited from efficient small size technology with very low power consumption mainly developed for portable communication equipment, advanced digital filtering and filter banks, as well as speech processing and enhancement devised for modern speech transmission and recognition. Moreover, these examples of cross-fertilisation exploiting synergies are continuing and expanding on a large scale. To promote the aforementioned cross-fertilisation, the goal of this special issue on Digital Signal Processing for Hearing Instruments (DSPHI) has been to collect and present the latest state-of-the-art research in signal processing methods and algorithms used in or suitable for hearing instruments, as well as in related design approaches and implementations. Just four years ago, in this journal a first special issue on this topic was published, underlining the
importance and activity of this challenging field of research: EURASIP Journal of Applied Signal Processing 2005:18. This special issue on DSP for Hearing Instruments gathers 16 articles. Again, it reflects various aspects of multiple discipl
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