Telecommunication systems and human-machine interfaces start employing multiple microphones and loudspeakers in order to make conversations and interactions more lifelike, hence more efficient. This development gives rise to a variety of acoustic signal processing problems under multiple-input multiple-output (MIMO) scenarios, encompassing distant speech acquisition, sound source localization and tracking, echo and noise control, source separation and speech dereverberation, and many others.
Acoustic MIMO Signal Processing is divided into two major parts - the theoretical and the...
Telecommunication systems and human-machine interfaces start employing multiple microphones and loudspeakers in order to make conversations and int...
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis...
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis...
Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu Ciochină
This volume assesses the difficulties involved in real-time communication via a single-input/single-output system with complex random variables. As a result, the most important aspects of a SAEC are presented, including the identification of the echo paths with adaptive filters, double-talk detection, and suppression.
This volume assesses the difficulties involved in real-time communication via a single-input/single-output system with complex random variables. As...
Addressing speech enhancement in the short-time Fourier transform (STFT) domain, this title divides the general problem into five basic categories depending on the number of microphones being used and whether the interframe or interband correlation is considered.
Addressing speech enhancement in the short-time Fourier transform (STFT) domain, this title divides the general problem into five basic categories dep...
Microphone arrays have attracted a lot of interest over the last few decades since they have the potential to solve many important problems such as noise reduction/speech enhancement, source separation, dereverberation, spatial sound recording, and source localization/tracking, to name a few. However, the design and implementation of microphone arrays with beamforming algorithms is not a trivial task when it comes to processing broadband signals such as speech. Indeed, in most sensor arrangements, the beamformer output tends to have a frequency-dependent response. One exception, perhaps,...
Microphone arrays have attracted a lot of interest over the last few decades since they have the potential to solve many important problems such as...
Constantin Paleologu Jacob Benesty Silviu Ciochina
Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by exploiting the sparseness character of the echo paths. Identification of sparse impulse responses was addressed mainly in the last decade with the development of the so-called ``proportionate''-type algorithms. The goal of this book is to present the most important sparse adaptive filters developed for echo...
Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it is importan...
This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation). Since both the desired speech and undesired noise are filtered at the same time, the most critical issue of speech enhancement resides in how to design a proper optimal filter that can fully take advantage of the difference between the speech and noise statistics to mitigate the noise effect as...
This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noi...
This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time Fourier transform (STFT). The simplicity and relative effectiveness of this class of approaches make them the dominant choice in practical systems. Even though many popular algorithms have been proposed through more than four decades of continuous research, there are a number of critical areas where our understanding and capabilities still remain quite rudimentary, especially with respect to the relationship between noise reduction and speech distortion. All...
This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time Fourier transform...
