The need to remove or to suppress acoustic noise in speech data arises in many situations. Speech Enhancement presents up-to-date information on all major noise suppression algorithms. With examples and MATLAB® code, this book offers complete coverage on perception of speech in noise by human listeners, spectral subtractive algorithms, Wiener filtering algorithms, statistical-model-based algorithms, subspace algorithms, noise-estimation algorithms, quality and intelligibility evaluation, and objective measures. An accompanying DVD-ROM contains speech databases that are appropriate for the evaluation of quality and intelligibility of speech processed by enhancement algorithms. It also includes MATLAB® code for the implementation of major speech enhancement algorithms.