Optimal Time-Domain Noise Reduction Filters

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Author :
Publisher : Springer
ISBN 13 : 9783642196003
Total Pages : 79 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Optimal Time-Domain Noise Reduction Filters by : Jacob Benesty

Download or read book Optimal Time-Domain Noise Reduction Filters written by Jacob Benesty and published by Springer. This book was released on 2011-04-20 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.

Optimal Time-Domain Noise Reduction Filters

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642196012
Total Pages : 82 pages
Book Rating : 4.10/5 ( download)

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Book Synopsis Optimal Time-Domain Noise Reduction Filters by : Jacob Benesty

Download or read book Optimal Time-Domain Noise Reduction Filters written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2011-04-15 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.

Noise Reduction in Speech Processing

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 364200296X
Total Pages : 236 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis Noise Reduction in Speech Processing by : Jacob Benesty

Download or read book Noise Reduction in Speech Processing written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2009-04-28 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Conceptual Framework for Noise Reduction

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Publisher : Springer
ISBN 13 : 3319129554
Total Pages : 89 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis A Conceptual Framework for Noise Reduction by : Jacob Benesty

Download or read book A Conceptual Framework for Noise Reduction written by Jacob Benesty and published by Springer. This book was released on 2015-03-31 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Signal Enhancement with Variable Span Linear Filters

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Publisher : Springer
ISBN 13 : 9812877398
Total Pages : 172 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis Signal Enhancement with Variable Span Linear Filters by : Jacob Benesty

Download or read book Signal Enhancement with Variable Span Linear Filters written by Jacob Benesty and published by Springer. This book was released on 2016-02-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the novel concept of variable span speech enhancement filters, and demonstrates how it can be used for effective noise reduction in various ways. Further, the book provides the accompanying Matlab code, allowing readers to easily implement the main ideas discussed. Variable span filters combine the ideas of optimal linear filters with those of subspace methods, as they involve the joint diagonalization of the correlation matrices of the desired signal and the noise. The book shows how some well-known filter designs, e.g. the minimum distortion, maximum signal-to-noise ratio, Wiener, and tradeoff filters (including their new generalizations) can be obtained using the variable span filter framework. It then illustrates how the variable span filters can be applied in various contexts, namely in single-channel STFT-based enhancement, in multichannel enhancement in both the time and STFT domains, and, lastly, in time-domain binaural enhancement. In these contexts, the properties of these filters are analyzed in terms of their noise reduction capabilities and desired signal distortion, and the analyses are validated and further explored in simulations.

A Perspective on Single-Channel Frequency-Domain Speech Enhancement

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Author :
Publisher : Springer Nature
ISBN 13 : 303102561X
Total Pages : 101 pages
Book Rating : 4.17/5 ( download)

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Book Synopsis A Perspective on Single-Channel Frequency-Domain Speech Enhancement by : Jacob Benesty

Download or read book A Perspective on Single-Channel Frequency-Domain Speech Enhancement written by Jacob Benesty and published by Springer Nature. This book was released on 2022-05-31 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 existing frequency-domain algorithms, no matter how they are developed, have one feature in common: the solution is eventually expressed as a gain function applied to the STFT of the noisy signal only in the current frame. As a result, the narrowband signal-to-noise ratio (SNR) cannot be improved, and any gains achieved in noise reduction on the fullband basis come with a price to pay, which is speech distortion. In this book, we present a new perspective on the problem by exploiting the difference between speech and typical noise in circularity and interframe self-correlation, which were ignored in the past. By gathering the STFT of the microphone signal of the current frame, its complex conjugate, and the STFTs in the previous frames, we construct several new, multiple-observation signal models similar to a microphone array system: there are multiple noisy speech observations, and their speech components are correlated but not completely coherent while their noise components are presumably uncorrelated. Therefore, the multichannel Wiener filter and the minimum variance distortionless response (MVDR) filter that were usually associated with microphone arrays will be developed for single-channel noise reduction in this book. This might instigate a paradigm shift geared toward speech distortionless noise reduction techniques. Table of Contents: Introduction / Problem Formulation / Performance Measures / Linear and Widely Linear Models / Optimal Filters with Model 1 / Optimal Filters with Model 2 / Optimal Filters with Model 3 / Optimal Filters with Model 4 / Experimental Study

Speech Enhancement in the Karhunen-Loeve Expansion Domain

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Publisher : Springer Nature
ISBN 13 : 3031025601
Total Pages : 102 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Speech Enhancement in the Karhunen-Loeve Expansion Domain by : Jacob Benesty

Download or read book Speech Enhancement in the Karhunen-Loeve Expansion Domain written by Jacob Benesty and published by Springer Nature. This book was released on 2022-05-31 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 much as possible while maintaining the speech perception identical to its original form. The optimal filters can be designed either in the time domain or in a transform space. As the title indicates, this book will focus on developing and analyzing optimal filters in the Karhunen-Loève expansion (KLE) domain. We begin by describing the basic problem of speech enhancement and the fundamental principles to solve it in the time domain. We then explain how the problem can be equivalently formulated in the KLE domain. Next, we divide the general problem in the KLE domain into four groups, depending on whether interframe and interband information is accounted for, leading to four linear models for speech enhancement in the KLE domain. For each model, we introduce signal processing measures to quantify the performance of speech enhancement, discuss the formation of different cost functions, and address the optimization of these cost functions for the derivation of different optimal filters. Both theoretical analysis and experiments will be provided to study the performance of these filters and the links between the KLE-domain and time-domain optimal filters will be examined. Table of Contents: Introduction / Problem Formulation / Optimal Filters in the Time Domain / Linear Models for Signal Enhancement in the KLE Domain / Optimal Filters in the KLE Domain with Model 1 / Optimal Filters in the KLE Domain with Model 2 / Optimal Filters in the KLE Domain with Model 3 / Optimal Filters in the KLE Domain with Model 4 / Experimental Study

Fundamentals of Signal Enhancement and Array Signal Processing

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 111929312X
Total Pages : 467 pages
Book Rating : 4.25/5 ( download)

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Book Synopsis Fundamentals of Signal Enhancement and Array Signal Processing by : Jacob Benesty

Download or read book Fundamentals of Signal Enhancement and Array Signal Processing written by Jacob Benesty and published by John Wiley & Sons. This book was released on 2017-12-18 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the theory and practice of signal enhancement and array signal processing, including matlab codes, exercises and instructor and solution manuals Systematically introduces the fundamental principles, theory and applications of signal enhancement and array signal processing in an accessible manner Offers an updated and relevant treatment of array signal processing with rigor and concision Features a companion website that includes presentation files with lecture notes, homework exercises, course projects, solution manuals, instructor manuals, and Matlab codes for the examples in the book

Acoustic Array Systems

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Publisher : John Wiley & Sons
ISBN 13 : 0470828374
Total Pages : 546 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis Acoustic Array Systems by : Mingsian R. Bai

Download or read book Acoustic Array Systems written by Mingsian R. Bai and published by John Wiley & Sons. This book was released on 2013-03-07 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a unified framework of far-field and near-field array techniques for noise source identification and sound field visualization, from theory to application. Acoustic Array Systems: Theory, Implementation, and Application provides an overview of microphone array technology with applications in noise source identification and sound field visualization. In the comprehensive treatment of microphone arrays, the topics covered include an introduction to the theory, far-field and near-field array signal processing algorithms, practical implementations, and common applications: vehicles, computing and communications equipment, compressors, fans, and household appliances, and hands-free speech. The author concludes with other emerging techniques and innovative algorithms. Encompasses theoretical background, implementation considerations and application know-how Shows how to tackle broader problems in signal processing, control, and transudcers Covers both farfield and nearfield techniques in a balanced way Introduces innovative algorithms including equivalent source imaging (NESI) and high-resolution nearfield arrays Selected code examples available for download for readers to practice on their own Presentation slides available for instructor use A valuable resource for Postgraduates and researchers in acoustics, noise control engineering, audio engineering, and signal processing.

Speech Enhancement

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Author :
Publisher : Elsevier
ISBN 13 : 0128002530
Total Pages : 143 pages
Book Rating : 4.37/5 ( download)

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Book Synopsis Speech Enhancement by : Jacob Benesty

Download or read book Speech Enhancement written by Jacob Benesty and published by Elsevier. This book was released on 2014-01-04 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes of methods and have been introduced in somewhat different contexts. Linear filtering methods originate in stochastic processes, while subspace methods have largely been based on developments in numerical linear algebra and matrix approximation theory. This book bridges the gap between these two classes of methods by showing how the ideas behind subspace methods can be incorporated into traditional linear filtering. In the context of subspace methods, the enhancement problem can then be seen as a classical linear filter design problem. This means that various solutions can more easily be compared and their performance bounded and assessed in terms of noise reduction and speech distortion. The book shows how various filter designs can be obtained in this framework, including the maximum SNR, Wiener, LCMV, and MVDR filters, and how these can be applied in various contexts, like in single-channel and multichannel speech enhancement, and in both the time and frequency domains. First short book treating subspace approaches in a unified way for time and frequency domains, single-channel, multichannel, as well as binaural, speech enhancement Bridges the gap between optimal filtering methods and subspace approaches Includes original presentation of subspace methods from different perspectives