000			02720nam a22004095i 4500
999			_c103860 _d103860 _x1
001			103860
003			DE-He213
005			20230102113149.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			150314s2015 gw | s |||| 0|eng d
020			_a9783319155302
024	7		_a10.1007/978-3-319-15530-2 _2doi
040			_bspa _dES-MaUEC
050		4	_aQC243 _b2015 EB
100	1		_aAnne, Koteswara Rao. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aAcoustic Modeling for Emotion Recognition _cby Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (VII, 66 páginas 24 ilustraciones, 17 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, _x2191-737X
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Emotion Recognition using Prosodic features -- Emotion Recognition using Spectral features -- Emotional Speech Corpora -- Classification Models -- Comparative Analysis of Classifiers in emotion recognition -- Summary and Conclusions.
520	3		_aThis book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications - gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques.
988			_aEBSPRINGER_2018
650		7	_aAcústica _2embne _9138038
650		7	_aEmociones y sentimientos _2embne _9413090
700	1		_aKuchibhotla, Swarna. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aVankayalapati, Hima Deepthi. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iEdición impresa: _z9783319155319
776	0	8	_iEdición impresa: _z9783319155296
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-15530-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2019 _dz _eIG _zSI