Speech Enhancement : with 18 tables We live in a noisy world! In all applications (telecommunications hands free communications recording human machine interfaces etc.) that require at least one microphone the signal of interest is usually contaminated by noise and reverberation. As a result the microphone signal has to be cleaned with digital signal processing tools before it is played out transmitted or stored. This book is about speech enhancement. Different well known and state of the art methods for noise reduction with one or multiple microphones are discussed. By speech enhancement we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers engineers and graduate students who are interested in the problem of signal and speech enhancement. To do so we invited well known experts to contribute chapters covering the state of the art in this focused field. TOC:Introduction. Study of the Wiener Filter for Noise Reduction. Statistical Methods for the Enhancement of Noisy Speech. Single und Multi Microphone Spectral Amplitude Estimation Using a Super Gaussian Speech Model. From Volatility Modeling of Financial Time Series to Stochastic Modeling and Enhancement of Speech Signals. Single Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation. Signal Subspace Techniques for Speech Enhancement. Speech Enhancement: Application of the Kalman Filter in the Estimate Maximize (EM) Framework. Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction. Adpative Microphone Arrays Employing Spatial Quadratic Soft Constraints and Spectral Shaping. Single Microphone Blind Dereverberation. Separation and Dereverberation of Speech Signals with Multiple Microphones. Frequency Domain Blind Source Separation. Subband Based Blind Source Separation. Real Time Blind Source Separation for Moving Speech Signals. Separation of Speech by Computational Auditory Scene Analysis