000 04583nam a22005295i 4500
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020 _a9783031025600
_9978-3-031-02560-0
024 7 _a10.1007/978-3-031-02560-0
_2doi
050 4 _aTK1-9971
072 7 _aTHR
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTHR
_2thema
082 0 4 _a621.3
_223
100 1 _aBenesty, Jacob.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981512
245 1 0 _aSpeech Enhancement in the Karhunen-Loeve Expansion Domain
_h[electronic resource] /
_cby Jacob Benesty, Jingdong Chen, Yiteng Huang.
250 _a1st ed. 2011.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2011.
300 _aIX, 102 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Speech and Audio Processing,
_x1932-1678
505 0 _aIntroduction -- 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.
520 _aThis 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 Filtersin 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.
650 0 _aElectrical engineering.
_981513
650 0 _aSignal processing.
_94052
650 0 _aAcoustical engineering.
_99499
650 1 4 _aElectrical and Electronic Engineering.
_981514
650 2 4 _aSignal, Speech and Image Processing.
_931566
650 2 4 _aEngineering Acoustics.
_931982
700 1 _aChen, Jingdong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981515
700 1 _aHuang, Yiteng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981516
710 2 _aSpringerLink (Online service)
_981517
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031014321
776 0 8 _iPrinted edition:
_z9783031036880
830 0 _aSynthesis Lectures on Speech and Audio Processing,
_x1932-1678
_981518
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02560-0
912 _aZDB-2-SXSC
942 _cEBK
999 _c85189
_d85189