Tobias Wolff

Tobias Wolff
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Main area of research
Speech enhancement

Tobias Wolff studied Electrical Engineering and Communications at Technische Universität Darmstadt (TUD), Germany. He received the Dipl.-Ing. degree in 2006 and the Dr.-Ing. degree in 2010 both from the Signal Processing Group at TUD. From May 2005 to December 2005 and from June 2007 to September 2007 he was a visiting researcher at the Image Processing Laboratory at University of California Santa Barbara (USCB). Since April 2009 he is a senior research engineer in the acoustic Speech Enhancement Department at Nuance Communications Deutschland GmbH. His main interests are algorithms for multichannel speech enhancement in noisy and reverberant environments. Tobias contributes as a supervisor in the Maire Curie International Training Network "DREAMS" to improve speech recognition performance in the presence of room reverberation.

Selected articles

Robust adaptive cancellation of interfering speakers for distributed microphone systems in cars

Hands-free systems in cars aim to capture the speech of different speakers at the best. Therefor distributed microphones can be aligned to each of these

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Efficient multi-channel acoustic echo cancellation using constrained sparse filter updates in the subband domain

In this paper we present constrained sparse tap-selection schemes for updating Multi-Channel Acoustic Echo Can­cellation (MAEC) filters in the subband domain. We per­form M-Max tap-selection

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Influence of blocking matrix design on microphone array postfilters

In this paper the role of the blocking matrix is investigated in the context of microphone array postfilters. A generic stability criterion, which depends on

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Enhanced speaker activity detection for distributed microphones by exploitation of signal power ratio patterns

In cars with integrated distributed microphone systems usually each speaker has a dedicated microphone. An often required broadband speaker activity detection can be performed by

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Modeling subjectively perceived annoyance of H.264 video as a function of perceived artifact strength

This paper is concerned with the subjective perception of video coding artifacts in H.264/AVC encoded and decoded video. Our objective is to model the perceived

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