000			03781nam a22005895i 4500
001			978-3-319-28109-4
003			DE-He213
005			20200420220219.0
007			cr nn 008mamaa
008			160122s2016 gw | s |||| 0|eng d
020			_a9783319281094 _9978-3-319-28109-4
024	7		_a10.1007/978-3-319-28109-4 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aRecent Advances in Nonlinear Speech Processing _h[electronic resource] / _cedited by Anna Esposito, Marcos Faundez-Zanuy, Antonietta M. Esposito, Gennaro Cordasco, Thomas Drugman, Jordi Sol�e-Casals, Francesco Carlo Morabito.
250			_a1st ed. 2016.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXIV, 294 p. 84 illus., 22 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSmart Innovation, Systems and Technologies, _x2190-3018 ; _v48
505	0		_aNonlinear Speech Processing: An Introduction -- Features of Sound Change -- Identifying Psychological, and Neural Disorders from Speech -- Improving VUI -- Identifying New Nonlinear Coding and Decoding Features -- The Social Life of Speech Features.
520			_aThis book presents recent advances in nonlinear speech processing beyond nonlinear techniques. It shows that it exploits heuristic and psychological models of human interaction in order to succeed in the implementations of socially believable VUIs and applications for human health and psychological support. The book takes into account the multifunctional role of speech and what is "outside of the box" (see Bj�orn Schuller's foreword). To this aim, the book is organized in 6 sections, each collecting a small number of short chapters reporting advances "inside" and "outside" themes related to nonlinear speech research. The themes emphasize theoretical and practical issues for modelling socially believable speech interfaces, ranging from efforts to capture the nature of sound changes in linguistic contexts and the timing nature of speech; labors to identify and detect speech features that help in the diagnosis of psychological and neuronal disease, attempts to improve the effectiveness and performance of Voice User Interfaces, new front-end algorithms for the coding/decoding of effective and computationally efficient acoustic and linguistic speech representations, as well as investigations capturing the social nature of speech in signaling personality traits, emotions and improving human machine interactions. .
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aComputational linguistics.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aLanguage Translation and Linguistics.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aEsposito, Anna. _eeditor.
700	1		_aFaundez-Zanuy, Marcos. _eeditor.
700	1		_aEsposito, Antonietta M. _eeditor.
700	1		_aCordasco, Gennaro. _eeditor.
700	1		_aDrugman, Thomas. _eeditor.
700	1		_aSol�e-Casals, Jordi. _eeditor.
700	1		_aMorabito, Francesco Carlo. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319281070
830		0	_aSmart Innovation, Systems and Technologies, _x2190-3018 ; _v48
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-28109-4
912			_aZDB-2-ENG
942			_cEBK
999			_c51783 _d51783