Markus Buck

Markus Buck
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Main area of research
Speech enhancement

Selected articles

Detection of Voiced Speech and Pitch Estimation for Applications with Low Spectral Resolution

Speech enhancement algorithms are employed in many applications, such as hands-free telephones, or speech recognizers, to recover a speech signal that is recorded in a

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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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