Timo Matheja

Timo Matheja
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Main area of research
Speech enhancement

Timo Matheja is a Research Engineer in the Speech Enhancement research group in Ulm, Germany, with research interests in the area of acoustic speech enhancement and multi-channel speech signal processing. Previously to joining the today's research group for acoustic speech enhancement at Nuance in 2009 and working on his PhD thesis, Timo received a Diploma degree in Media Technology from the Technical University of Ilmenau in Germany. His PhD topic is related to multi-channel speech enhancement and processing for distributed speaker-dedicated microphones in the car environment in cooperation with the Institute for Communications Technology of the Technical University of Braunschweig, Germany. Besides finalizing his PhD thesis, Timo is working as a research engineer at Nuance since 2012 and conducts currently research on multi-channel speech signal enhancement solutions for hands-free speech communication and automatic speech recognition systems in automotive environments as well as on speech signal enhancement for mobile devices.

Selected articles

Speaker activity detection for distributed microphone systems in cars

In this contribution a new framework for energy-based acoustic speaker activity detection for distributed microphones in automotive environments is presented. The method relies on the

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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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Detection of local disturbances and simultaneously active speakers for distributed speaker-dedicated microphones in cars

For automotive hands-free and speech recognition applications, distributed microphones are often mounted in the car where each of the speakers has a dedicated microphone close

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A dynamic multi-channel speech enhancement system for distributed microphones in a car environment

Supporting multiple active speakers in automotive hands-free or speech dialog applications is an interesting issue not least due to comfort reasons. Therefore, a multi-channel system for

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A multi-channel quality assessment setup applied to a distributed microphone speech enhancement systemwith spectral boosting

For instrumental quality assessment of speech enhancement systems it is common to process the signal components such as speech and noise independently using the filter

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