000			02029nam a22003735i 4500
999			_c103604 _d103604 _x1
001			103604
003			DE-He213
005			20230102113138.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			140802s2015 gw | s |||| 0|eng d
020			_a9783319008974
024	7		_a10.1007/978-3-319-00897-4 _2doi
040			_bspa _dES-MaUEC
050		4	_aTK7882.S65 _bK677 2015 EB
100	1		_aKopparapu, Sunil Kumar. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aNon-Linguistic Analysis of Call Center Conversations _cby Sunil Kumar Kopparapu.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XII, 83 páginas 47 ilustraciones, 26 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8112
490	0		_aEngineering (Springer-11647)
505	0		_aOverview -- Voice Analytics Process -- Call Center Linguistic Analytics -- Non-linguistic Speech Processing -- Case Study.-Conclusions.
520	3		_aThe book focuses on the part of the audio conversation not related to language such as speaking rate (in terms of number of syllables per unit time) and emotion centric features. This text examines using non-linguistics features to infer information from phone calls to call centers. The author analyzes "how" the conversation happens and not "what" the conversation is about by audio signal processing and analysis.
988			_aEBSPRINGER_2018
650		7	_aProceso de señales _2embne _9150608
776	0	8	_iEdición impresa: _z9783319008981
776	0	8	_iEdición impresa: _z9783319008967
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-00897-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI