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Titlebook: Speech Processing in Modern Communication; Challenges and Persp Israel Cohen,Jacob Benesty,Sharon Gannot Book 2010 Springer-Verlag Berlin H

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发表于 2025-3-21 16:50:11 | 显示全部楼层 |阅读模式
书目名称Speech Processing in Modern Communication
副标题Challenges and Persp
编辑Israel Cohen,Jacob Benesty,Sharon Gannot
视频videohttp://file.papertrans.cn/875/874013/874013.mp4
概述Delivers timely overview of the fundamental challenges in modern speech communication systems.Provides concise insights into recent research topics
丛书名称Springer Topics in Signal Processing
图书封面Titlebook: Speech Processing in Modern Communication; Challenges and Persp Israel Cohen,Jacob Benesty,Sharon Gannot Book 2010 Springer-Verlag Berlin H
描述.Modern communication devices, such as mobile phones, teleconferencing systems, VoIP, etc., are often used in noisy and reverberant environments. Therefore, signals picked up by the microphones from telecommunication devices contain not only the desired near-end speech signal, but also interferences such as the background noise, far-end echoes produced by the loudspeaker, and reverberations of the desired source. These interferences degrade the fidelity and intelligibility of the near-end speech in human-to-human telecommunications and decrease the performance of human-to-machine interfaces (i.e., automatic speech recognition systems)...The proposed book deals with the fundamental challenges of speech processing in modern communication, including speech enhancement, interference suppression, acoustic echo cancellation, relative transfer function identification, source localization, dereverberation, and beamforming in reverberant environments...Enhancement of speech signals is necessary whenever the source signal is corrupted by noise. In highly non-stationary noise environments, noise transients, and interferences may be extremely annoying. Acoustic echo cancellation is used to eli
出版日期Book 2010
关键词Acoustic Echo Cancellation; Beamforming; Dereverberation; Fourier transform; Signal; Speech Enhancement; a
版次1
doihttps://doi.org/10.1007/978-3-642-11130-3
isbn_softcover978-3-642-26236-4
isbn_ebook978-3-642-11130-3Series ISSN 1866-2609 Series E-ISSN 1866-2617
issn_series 1866-2609
copyrightSpringer-Verlag Berlin Heidelberg 2010
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The MVDR Beamformer for Speech Enhancement,ction only. The amount of noise reduction that is sacrificed when complete dereverberation is required depends on the directto- reverberation ratio of the acoustic impulse response between the source and the reference microphone. The performance evaluation demonstrates the tradeoff between dereverberation and noise reduction.
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Representation and Identification of Nonlinear Systems in the Short-Time Fourier Transform Domain,t derive explicit representations of discrete-time Volterra filters in the STFT domain. Based on these representations, approximate nonlinear STFT models, which consist of parallel combinations of linear and nonlinear components, are developed. The linear components are represented by crossband filt
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Variable Step-Size Adaptive Filters for Echo Cancellation, communication device. Basically, we deal with a system identification problem, which can be solved by using an adaptive filter. The most common adaptive filters for AEC are the normalized least-mean-square (NLMS) algorithm and the affine projection algorithm (APA). These two algorithms have to comp
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Simultaneous Detection and Estimation Approach for Speech Enhancement and Interference Suppression,Fourier transform domain is combined with an estimator, which jointly minimizes a cost function that takes into account both detection and estimation errors. Cost parameters control the trade-off between speech distortion, caused by missed detection of speech components, and residual musical noise r
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Speech Dereverberation and Denoising Based on Time Varying Speech Model and Autoregressive Reverberpproach has been intensively studied and many practical methods have been developed. In contrast, research on dereverberation has been relatively limited. It is in very recent years that studies on a model-based approach to dereverberation have made rapid progress. This chapter reviews a model-based
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