Markus Buck

Markus Buck
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Main area of research
Speech enhancement

Selected articles

Voice Activity Detection Based on Modulation-Phase Differences

Many speech processing algorithms rely on voice activity detection (VAD) that separates speech from noise. For this task, several features have been introduced that employ

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Kurtosis-Controlled Babble Noise Suppression

When a speech application is employed in a crowded environment, the user’s voice superposes with many interfering voices. This babble noise is a challenge for

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Features for voice activity detection: a comparative analysis

In many speech signal processing applications, voice activity detection (VAD) plays an essential role for separating an audio stream into time intervals that contain speech

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A morphological approach to single-channel wind-noise suppression

Today, a variety of technical devices deploy spoken language processing technology. In many practical use cases, not only stationary ambient noises but non-stationary interferences, such

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A practical beamformer-postfilter system for adaptive speech enhancement in non-stationary noise environments

In this contribution we present an adaptive beamformer-postfilter system which can be used to suppress non-stationary noises. The emphasis lies on the spatial filtering property

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