Walter Kellermann (University of Erlangen-Nuremberg)
Walter Kellermann is a professor for communications at the Chair of Multimedia Communications and Signal Processing of the University of Erlangen-Nuremberg, Germany. He received the Dipl.-Ing. (univ.) degree in Electrical Engineering from the University of Erlangen-Nuremberg in 1983, and the Dr.-Ing. degree ('with distinction') from the Technical University Darmstadt, Germany, in 1988. From 1989 to 1990, he was a Postdoctoral Member of Technical Staff at AT&T Bell Laboratories, Murray Hill, NJ. In 1990, he joined Philips Kommunikations Industrie, Nuremberg, Germany. From 1993 to 1999 he was a professor at the Fachhochschule Regensburg before he joined the University Erlangen-Nuremberg as a professor and head of the audio research laboratory in 1999. In 1999 he co-founded the consulting firm DSP Solutions.
Acoustic Signal Processing for Natural Interactive and Immersive Human/Machine Interfaces
Since the very beginning of audio signal reproduction, immersion was always seen as a crucial feature of high quality. With the arrival of teleconferencing systems, immersive multichannel reproduction became part of telecommunication systems, and the according terminals developed into multi-functional human/machine interfaces, supporting not just telecommunication but also gaming, simulators, control consoles interactive home theatres and many other purposes. Along with increasingly powerful and cost-effective signal processing hardware, the according acoustic signal processing algorithms developed dramatically over the last decade striving for perfect solutions for the fundamental problems of acoustic interfaces: Acoustic feedback from loudspeakers to microphones, noise and interfering sources, and reverberation in enclosures. In this talk, we will shortly review the fundamental problems and then highlight some recent developments in acoustic echo control for massive multichannel reproduction, signal extraction, source localization, dereverberation, as well as distant-talking speech recognition. Finally, we also will speculate on promising avenues for future research.
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