Speech Dereverberation (Record no. 110952)

000 -LEADER
fixed length control field 04269nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-1-84996-056-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220084515.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100726s2010 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781849960564
-- 978-1-84996-056-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-84996-056-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5102.9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7882.S65
072 #7 - SUBJECT CATEGORY CODE
Subject category code TTBM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYS
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC008000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM073000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Naylor, Patrick A.
Relator term editor.
245 10 - TITLE STATEMENT
Title Speech Dereverberation
Medium [electronic resource] /
Statement of responsibility, etc edited by Patrick A. Naylor, Nikolay D. Gaubitch.
264 #1 -
-- London :
-- Springer London,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 388p. 126 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Signals and Commmunication Technology,
International Standard Serial Number 1860-4862
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Models, Measurement and Evaluation -- Speech Dereverberation Using Statistical Reverberation Models -- Dereverberation Using LPC-based Approaches -- Multi-microphone Speech Dereverberation Using Eigen-decomposition -- Adaptive Blind Multichannel System Identification -- Subband Inversion of Multichannel Acoustic Systems -- Bayesian Single Channel Blind Dereverberation of Speech from a Moving Talker -- Inverse Filtering for Speech Dereverberation Without the Use of Room Acoustics Information -- TRINICON for Dereverberation of Speech and Audio Signals.
520 ## - SUMMARY, ETC.
Summary, etc Speech dereverberation is a signal processing technique of key importance for successful hands-free speech acquisition in applications of telecommunications and automatic speech recognition. Over the last few years, speech dereverberation has become a hot research topic driven by consumer demand, the availability of terminals based on Skype™ which encourage hands-free operation and the development of promising signal processing algorithms. Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation. Speech Dereverberation presents the most important current approaches to the problem of reverberation. It begins by providing a focused and digestible review of the relevant topics in room acoustics and also describes key performance measures for dereverberation. The algorithms are then explained together with relevant mathematical analysis and supporting examples that enable the reader to see the relative strengths and weaknesses of the various techniques, as well as giving a clear understanding of the open questions still to be addressed in this topic. Techniques rooted in speech enhancement are included, in addition to a substantial treatment of multichannel blind acoustic system identification and inversion. The TRINICON framework is shown in the context of dereverberation to be a powerful generalization of the signal processing for a important range of analysis and enhancement techniques. Speech Dereverberation offers the reader an overview of the subject area, as well as an in-depth text on the advanced signal processing involved. The book benefits the reader by providing such a wealth of information in one place, defines the current state of the art and, lastly, encourages further work on this topic by offering open research questions to exercise the curiosity of the reader. It is suitable for students at masters and doctoral level, as well as established researchers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data structures (Computer science).
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Structures, Cryptology and Information Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Intelligence.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gaubitch, Nikolay D.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781849960557
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Signals and Commmunication Technology,
-- 1860-4862
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-84996-056-4
912 ## -
-- ZDB-2-ENG

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