Markus Buck

Markus Buck
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Main area of research
Speech enhancement

Selected articles

Improved performance measures for voice activity detection

Voice activity detection is an essential part of many speech processing algorithms. The requirements of the speech application determine the design of voice activity detection.

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Effects of resampling in acoustic echo cancellation with static nonlinear loudspeaker distortion

In modern acoustic echo compensation (AEC), nonlinear models are applied to mimic the loudspeaker’s behavior. Many conventional methods disregard the NYQUIST criterion when applying the

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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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Speech enhancement based on formant estimation

In this contribution, a computationally efficient method for enhancing speech quality and intelligibility by identifying and accentuating formants in speech signals is presented. The proposed

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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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