M. Marzinzik

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A speech pause detection algorithm is an important and sensitive part of most single-microphone noise reduction schemes for enhancement of speech signals corrupted by additive noise as an estimate of the background noise is usually determined when speech is absent. An algorithm is proposed which detects speech pauses by adaptively tracking minima in a noisy(More)
The aim of this thesis is to improve both the assessment methods and the available algorithms for noise reduction in hearing aids. In particular, the whole development chain from the construction of algorithms, subjective assessment of algorithmic performance by normal-hearing and hearing-impaired listeners as well as objective assessment methods is(More)
In noisy and reverberant environments the performance of automatic speech recognition systems drops below acceptable levels. It has been shown before, that using a psychoacoustical model of the peripheral auditory processing, as introduced by Dau [1], yields much higher recognition rates in noisy background situations than standard pre-processing methods(More)
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