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More and more devices for human-to-human and human-to-machine communications require some sophisticated algorithms. This is due to the fact that the acoustic environment in which we live in and communicate is extremely challenging. More than ever, the fundamental problems of acoustic echo cancellation, interference and noise suppression, and dereverberation need to be tackled rigorously. Researchers from diverse fields of speech processing contributed chapters addressing their specific topic of study, where research is very active. The topics include: speech enhancement in transient-noise and reverberant environments, single-channel blind source separation of speech and music signals, acoustic echo cancellation in double-talk scenarios, linear and nonlinear system identification in the short-time Fourier transform domain for acoustic echo cancellation, identification of the relative transfer function between sensors for beamforming in reverberant environments, microphone arrays in noisy reverberant environments, beamforming methods for spherical microphone arrays, and broadband source localization. This book has been edited for engineers, researchers, and graduate students who work on speech processing for communication applications. We hope that the readers will find many new and interesting concepts that are presented in this text useful and inspiring.

Vibrations --- Electrical engineering --- Applied physical engineering --- Mass communications --- Programming --- Computer. Automation --- geluidsleer --- akoestiek --- DIP (documentimage processing) --- beeldverwerking --- spraaktechnologie --- informatica --- elektrotechniek --- communicatietechnologie --- signaalverwerking --- interfaces

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Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) that is picked up by a microphone is generally contaminated by noise. As a result, the microphone signal has to be cleaned up with digital signal processing tools before it is stored, analyzed, transmitted, or played out. This cleaning process is often called noise reduction and this topic has attracted a considerable amount of research and engineering attention for several decades. One of the objectives of this book is to present in a common framework an overview of the state of the art of noise reduction algorithms in the single-channel (one microphone) case. The focus is on the most useful approaches, i.e., filtering techniques (in different domains) and spectral enhancement methods. The other objective of Noise Reduction in Speech Processing is to derive all these well-known techniques in a rigorous way and prove many fundamental and intuitive results often taken for granted. This book is especially written for graduate students and research engineers who work on noise reduction for speech and audio applications and want to understand the subtle mechanisms behind each approach. Many new and interesting concepts are presented in this text that we hope the readers will find useful and inspiring.

Vibrations --- Computer. Automation --- geluidsleer --- akoestiek --- beeldverwerking --- informatica --- signaalverwerking