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Speech Enhancement in the Karhunen-Loeve Expansion Domain

optimal filters in the Karhunen-Loeve expansion (KLE) domain. We begin by describing the basic problem of speech enhancement and the fundamental;

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Reliability-based Structural Design

method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions;

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Fractional Fourier Transform Techniques for Speech Enhancement

This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT;

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DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement

reduce the effects of such disturbances is through the use of single-microphone noise reduction algorithms for speech enhancement. The field;

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Fundamentals of Speech Enhancement

. The book unifies all aspects of speech enhancement, from single channel, multichannel, beamforming, time domain, frequency domain and time;

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Speech Enhancement

: Theory and Practice, Second Edition introduces readers to the basic problems of speech enhancement and the various algorithms proposed to solve;

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Speech Enhancement

: Theory and Practice, Second Edition introduces readers to the basic problems of speech enhancement and the various algorithms proposed to solve;

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Speech Recognition and Processing

Speech recognition technique has proven to be significantly beneficial in the domain of Artificial Intelligence. This book is based on;

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Introduction To Orthogonal Transforms

the reader from mathematical theory to problem solving in practice. It examines each transform method in depth, emphasizing the common;

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Stochastic Finite Elements

and covariance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is employed to represent;

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Audio Source Separation and Speech Enhancement

Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source;

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A Perspective on Single-channel Frequency-domain Speech Enhancement

reduction and speech distortion. All existing frequency-domain algorithms, no matter how they are developed, have one feature in common: the;

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Advances in Nonlinear Speech Processing

This book constitutes the proceedings of the 6th International Conference on Nonlinear Speech Processing, NOLISP 2013, held in Mons;

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Telephone Speech Enhancement for the Hearing Impaired

and information - Additional noise - Lack of visual cues This book analyzes the factors and explore various telephone speech enhancement;

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Singular Spectrum Analysis

(1978). In the digi tal signal processing community, the approach is also known as the Karhunen-Loeve (K-L) expansion (Pike et aI., 1984). Like;

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A Perspective on Single-Channel Frequency-Domain Speech Enhancement

reduction and speech distortion. All existing frequency-domain algorithms, no matter how they are developed, have one feature in common: the;

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Cognitively Inspired Audiovisual Speech Filtering

This book presents a summary of the cognitively inspired basis behind multimodal speech enhancement, covering the relationship between;

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Speech Enhancement

Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for;

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Man-Machine Speech Communication

This book constitutes the refereed proceedings of the 14th National Conference on Man-Machine Speech Communication, NCMMSC 2017, held;

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Internet Domain Names, Trademarks and Free Speech

Lipton considers the balance between trademark policy, free speech and other pressing interests in domain names, such as privacy and;

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Signals and Images

emerging technologies, but also demonstrates how to tackle key problems such as how to enhance speech in the time domain, improve audio quality;

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Signals and Images

emerging technologies, but also demonstrates how to tackle key problems such as how to enhance speech in the time domain, improve audio quality;

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Speech Dereverberation

Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for;

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Speech Processing and Soft Computing

enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced;

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Speech Enhancement Using Deep Neural Network with Python

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Phase-based Speech Processing

phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art;

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Phase-based Speech Processing

phase of speech signals can be utilized for sound localization, enhancement, and recognition.This book also discusses the state-of-the-art;

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