000 04269nam a22005175i 4500
001 978-1-84996-056-4
003 DE-He213
005 20140220084515.0
007 cr nn 008mamaa
008 100726s2010 xxk| s |||| 0|eng d
020 _a9781849960564
_9978-1-84996-056-4
024 7 _a10.1007/978-1-84996-056-4
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aNaylor, Patrick A.
_eeditor.
245 1 0 _aSpeech Dereverberation
_h[electronic resource] /
_cedited by Patrick A. Naylor, Nikolay D. Gaubitch.
264 1 _aLondon :
_bSpringer London,
_c2010.
300 _aXVIII, 388p. 126 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Commmunication Technology,
_x1860-4862
505 0 _aModels, 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 _aSpeech 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 _aEngineering.
650 0 _aData structures (Computer science).
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aData Structures, Cryptology and Information Theory.
650 2 4 _aComputational Intelligence.
700 1 _aGaubitch, Nikolay D.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781849960557
830 0 _aSignals and Commmunication Technology,
_x1860-4862
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-84996-056-4
912 _aZDB-2-ENG
999 _c110952
_d110952