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Microphone arrays have attracted a lot of interest in the last two decades. The reason behind this is that they have the potential to solve many important problems in both human-machine and human-human interfaces for different kinds of communications. But before microphone arrays can be deployed broadly, there is a strong need for a deep understanding of the problems encountered in the real world and their clear formulation in order that useful algorithms can be developed to process the sensor signals. While there are many manuscripts on antenna arrays from a narrowband perspective (narrowband signals and narrowband processing), the literature is quite scarce when it comes to sensor arrays explained from a truly broadband perspective. Many algorithms for speech applications were simply borrowed from narrowband antenna arrays. However, a direct application of narrowband ideas to broadband speech processing may not be necessarily appropriate and can lead to many misunderstandings. Therefore, the main objective of this book is to derive and explain the most fundamental algorithms from a strictly broadband (signals and/or processing) viewpoint. Thanks to the approach taken here, new concepts come in light that have the great potential of solving several, very difficult problems encountered in acoustic and speech applications. Microphone Array Signal Processing is a timely and important professional reference for researchers and practicing engineers from universities and a wide range of industries. It is also an excellent text for graduate students who are interested in this promising and exciting field

Spectrometric and optical chemical analysis --- Computer. Automation --- beeldverwerking --- microfoons --- signal processing --- fysicochemie --- signaalverwerking --- spectrometrie

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This book presents the signal processing algorithms that have been developed to process the signals acquired by a spherical microphone array. Spherical microphone arrays can be used to capture the sound field in three dimensions and have received significant interest from researchers and audio engineers. Algorithms for spherical array processing are different to corresponding algorithms already known in the literature of linear and planar arrays because the spherical geometry can be exploited to great beneficial effect. The authors aim to advance the field of spherical array processing by helping those new to the field to study it efficiently and from a single source, as well as by offering a way for more experienced researchers and engineers to consolidate their understanding, adding either or both of breadth and depth. The level of the presentation corresponds to graduate studies at MSc and PhD level. This book begins with a presentation of some of the essential mathematical and physical theory relevant to spherical microphone arrays, and of an acoustic impulse response simulation method, which can be used to comprehensively evaluate spherical array processing algorithms in reverberant environments. The chapter on acoustic parameter estimation describes the way in which useful descriptions of acoustic scenes can be parameterized, and the signal processing algorithms that can be used to estimate the parameter values using spherical microphone arrays. Subsequent chapters exploit these parameters including in particular measures of direction-of-arrival and of diffuseness of a sound field. The array processing algorithms are then classified into two main classes, each described in a separate chapter. These are signal-dependent and signal-independent beamforming algorithms. Although signal-dependent beamforming algorithms are in theory able to provide better performance compared to the signal-independent algorithms, they are currently rarely used in practice. The main reason for this is that the statistical information required by these algorithms is difficult to estimate. In a subsequent chapter it is shown how the estimated acoustic parameters can be used in the design of signal-dependent beamforming algorithms. This final step closes, at least in part, the gap between theory and practice.

Vibrations --- Computer. Automation --- geluidsleer --- akoestiek --- beeldverwerking --- microfoons --- geluidsisolatie --- spraaktechnologie --- elektro-akoestiek --- signaalverwerking

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Applied physical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- procesautomatisering --- microfoons --- signal processing --- automatisering --- informatica --- robots --- regeltechniek --- signaalverwerking

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Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the microphone arrangement can be used to achieve further noise reduction and dereverberation. The Content Directivity Based Reference for the Generalized Multichannel Wiener Filter Reference for the Binaural Multichannel Wiener Filter Wind Noise Reduction for a Closely Spaced Microphone Array Background Noise Simulation based on MIMO Equalization The Target Groups Lecturers and Students in the field of Speech Signal Processing Practitioners of Speech Signal Processing and Noise Reduction The Author Simon Grimm was a research assistant at the Institute of System Dynamics at the HTWG Konstanz, Germany, from October 2014 to March 2018. During his research period, he was working in the area of speech signal processing for multichannel microphone arrangements. He finished his Ph.D. in June 2018. Currently he is employed as a signal processing engineer at a German audio equipment manufacturer.

Mathematics --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Information systems --- Computer. Automation --- akoestiek --- microfoons --- ICT (informatie- en communicatietechnieken) --- signal processing --- economie --- informatica --- informatiesystemen --- wiskunde --- ingenieurswetenschappen --- elektrotechniek