000			04124nam a22005295i 4500
001			u373947
003			SIRSI
005			20160812084210.0
007			cr nn 008mamaa
008			100301s2010 gw | s |||| 0|eng d
020			_a9783642111303 _9978-3-642-11130-3
040			_cMX-MeUAM
050		4	_aTK5102.9
050		4	_aTA1637-1638
050		4	_aTK7882.S65
082	0	4	_a621.382 _223
100	1		_aCohen, Israel. _eeditor.
245	1	0	_aSpeech Processing in Modern Communication _h[recurso electrónico] : _bChallenges and Perspectives / _cedited by Israel Cohen, Jacob Benesty, Sharon Gannot.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXVIII, 342 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Topics in Signal Processing, _x1866-2609 ; _v3
505	0		_aLinear System Identification in the Short-Time Fourier Transform Domain -- Identification of the Relative Transfer Function between Sensors in the Short-Time Fourier Transform Domain -- Representation and Identification of Nonlinear Systems in the Short-Time Fourier Transform Domain -- Variable Step-Size Adaptive Filters for Echo Cancellation -- Simultaneous Detection and Estimation Approach for Speech Enhancement and Interference Suppression -- Speech Dereverberation and Denoising Based on Time Varying Speech Model and Autoregressive Reverberation Model -- Codebook Approaches for Single Sensor Speech/Music Separation -- Microphone Arrays: Fundamental Concepts -- The MVDR Beamformer for Speech Enhancement -- Extraction of Desired Speech Signals in Multiple-Speaker Reverberant Noisy Environments -- Spherical Microphone Array Beamforming -- Steered Beamforming Approaches for Acoustic Source Localization.
520			_aMore and more devices for human-to-human and human-to-machine communications require some sophisticated algorithms. This is due to the fact that the acoustic environment in which we live in and communicate is extremely challenging. More than ever, the fundamental problems of acoustic echo cancellation, interference and noise suppression, and dereverberation need to be tackled rigorously. Researchers from diverse fields of speech processing contributed chapters addressing their specific topic of study, where research is very active. The topics include: speech enhancement in transient-noise and reverberant environments, single-channel blind source separation of speech and music signals, acoustic echo cancellation in double-talk scenarios, linear and nonlinear system identification in the short-time Fourier transform domain for acoustic echo cancellation, identification of the relative transfer function between sensors for beamforming in reverberant environments, microphone arrays in noisy reverberant environments, beamforming methods for spherical microphone arrays, and broadband source localization. This book has been edited for engineers, researchers, and graduate students who work on speech processing for communication applications. We hope that the readers will find many new and interesting concepts that are presented in this text useful and inspiring.
650		0	_aEngineering.
650		0	_aComputer science.
650		0	_aAcoustics.
650		0	_aTelecommunication.
650	1	4	_aEngineering.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aUser Interfaces and Human Computer Interaction.
650	2	4	_aAcoustics.
650	2	4	_aCommunications Engineering, Networks.
700	1		_aBenesty, Jacob. _eeditor.
700	1		_aGannot, Sharon. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642111297
830		0	_aSpringer Topics in Signal Processing, _x1866-2609 ; _v3
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-11130-3
596			_a19
942			_cLIBRO_ELEC
999			_c201827 _d201827