In wireless speech communication systems several measures are taken to provide the required audio quality at the receiver. Besides speech and channel coding, algorithms for speech enhancement are applied to cope with the impairments resulting from acoustic background noise, telephone frequency characteristics, and residual bit errors. In the literature, advanced techniques for noise suppression, artificial bandwidth extension, and error concealment are treated as independent (sub-)disciplines of adaptive speech signal processing. However, these three approaches of speech enhancement are actually based on the same mathematics of conditional Bayesian estimation. In this contribution, a common view and recent developments in these three areas are presented.
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