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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(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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