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Noise reduction in speech processing /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Noise reduction in speech processing // Jacob Benesty ... [et al.].
其他作者:	Benesty, Jacob.
出版者:	Dordrecht ;Springer,c2009.
面頁冊數:	x, 229 p. :ill. ;25 cm.
叢書名:	Springer topics in signal processing ;
標題:	Speech processing systems - Noise. -
ISBN:	9783642002953 (hbk.) :
ISBN:	3642002951 (hbk.)
ISBN:	9783642002960 (ebook)
ISBN:	364200296X (ebook)

Noise reduction in speech processing /
Noise reduction in speech processing /Jacob Benesty ... [et al.]. - Dordrecht ;Springer,c2009. - x, 229 p. :ill. ;25 cm. - Springer topics in signal processing ;v. 2.

Includes bibliographical references (p. [219]-226) and index.

"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."--BOOK JACKET.

ISBN: 9783642002953 (hbk.) :NT3179Subjects--Topical Terms:

184801
Speech processing systems
--Noise.

LC Class. No.: TK7882.S65 / N653 2009

Dewey Class. No.: 621.3828

Noise reduction in speech processing /
LDR:01907cam _22002174a_450 001 146273
003 OCoLC
005 20091026145805.0
008 090305s2009 ne a b 001 0 eng
020 $a 9783642002953 (hbk.) : $c NT3179
020 $a 3642002951 (hbk.)
020 $a 9783642002960 (ebook)
020 $a 364200296X (ebook)
035 $a 00140917
050 4 $a TK7882.S65 $b N653 2009
082 0 4 $a 621.3828 $2 22
245 0 0 $a Noise reduction in speech processing / $c Jacob Benesty ... [et al.].
260 $a Dordrecht ; $a London : $b Springer, $c c2009.
300 $a x, 229 p. : $b ill. ; $c 25 cm.
440 0 $a Springer topics in signal processing ; $v v. 2
504 $a Includes bibliographical references (p. [219]-226) and index.
520 1 $a "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."--BOOK JACKET.
650 0 $a Speech processing systems $x Noise. $3 184801
650 0 $a Electronic noise $x Prevention. $3 184802
650 0 $a Acoustical engineering. $3 151174
700 1 $a Benesty, Jacob. $3 157882

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