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Communicating inside a car can be difficult because there is usually a high level of background noise and also the talking passengers do not face each other as they would do in a natural conversation. In-car communication (ICC) systems are a solution to this problem. They record the talkers’ speech signal by means of microphones and reproduce it over(More)
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 as wind noise, degrade their performance. If only one microphone is available, regular noise reduction schemes are capable of suppressing stationary interferences. Wind(More)
Speech enhancement techniques using spectral subtraction have the drawback of generating residual noise with a musical character, so-called musical noise. We developed a new post-processing method for suppressing this musical residual noise. In this method, the auditory masking threshold is calculated twice, once before the spectral subtraction and once(More)
In noise suppression systems for automotive applications, the use of adaptive beamformers has proven to be of great potential. Nevertheless, in diffuse noise fields the amount of noise attenuation is rather limited and depends on the number of microphones. In order to enhance the signal-to-noise ratio further, additional classical noise suppression schemes,(More)
Compact microphone arrays allow for directional filtering with a minimum of installation space. They are therefore particularly suitable for automotive applications. Typically, compact arrays are realized as differential arrays or filter-and-sum beamformers which both show limited performance in terms of directivity. In this contribution we present a novel(More)
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