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Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.

Engineering. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- Telecommunication. --- Ingénierie --- Télécommunications --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Telecommunications --- Applied Physics --- Electrical Engineering --- Noise control. --- Noise prevention --- Electrical engineering. --- Acoustical engineering --- Environmental engineering --- Noise --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Signal processing. --- Image processing. --- Speech processing systems. --- Electric engineering --- Engineering --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)

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Recently, we proposed a completely novel and efficient way to design differential beamforming algorithms for linear microphone arrays. Thanks to this very flexible approach, any order of differential arrays can be designed. Moreover, they can be made robust against white noise amplification, which is the main inconvenience in these types of arrays. The other well-known problem with linear arrays is that electronic steering is not really feasible.  In this book, we extend all these fundamental ideas to circular microphone arrays and show that we can design small and compact differential arrays of any order that can be electronically steered in many different directions and offer a good degree of control of the white noise amplification problem, high directional gain, and frequency-independent response. We also present a number of practical examples, demonstrating that differential beamforming with circular microphone arrays is likely one of the best candidates for applications involving speech enhancement (i.e., noise reduction and dereverberation). Nearly all of the material presented is new and will be of great interest to engineers, students, and researchers working with microphone arrays and their applications in all types of telecommunications, security and surveillance contexts.

Engineering. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- Telecommunication. --- Ingénierie --- Télécommunications --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Telecommunications --- Applied Physics --- Microphone arrays. --- Arrays, Microphone --- Electrical engineering. --- Sound --- Equipment and supplies --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Signal processing. --- Image processing. --- Speech processing systems. --- Electric engineering --- Engineering --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)