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We are presenting a method for the enhancement of speech in speaker dedicated speech communication systems. The proposed procedure is fundamentally different from most state-of-the-art filtering approaches. Instead of filtering a distorted signal we are re-synthesizing a new ldquocleanrdquo signal based on its likely characteristics. These characteristics are estimated from the distorted signal. We...
Blind separation and dereverberation of acoustic sources is still considered a very challenging task despite many years of research and the availability of increasingly powerful computation engines. The complexity of the task can be significantly reduced for sources that exhibit sufficiently long exclusiveactivityperiods (EAPs). EAPs are time intervals during which only one source is active and...
We are proposing a new approach to the solution of the cocktail party problem (CPP). The goal of the CPP is to isolate the speech signals of individuals who are concurrently talking while being recorded with a properly positioned microphone array. The new approach provides a powerful yet simple alternative to commonly used methods for the separation of speakers. It is based on the observation that...
The growing application of caching in Internet applications have heretofore relied largely on qualitative observation and empirical data on the update behavior of Internet data in their design. While it is empirically known that the update behavior of such data is distinctly bimodal, much less is known about the details of these behaviors and the processes that drives them. A detailed study of the...
We are presenting a new approach for blind multichannel system identification. The approach relies on the existence of so called exclusive activity periods (EAPs) in the source signals. EAPs are time intervals during which only one source is active and all other sources are inactive (i.e. zero). The existence of EAPs is not guaranteed for arbitrary signal classes. EAPs occur very frequently, however,...
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