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020 _a9783319095165
024 7 _a10.1007/978-3-319-09516-5
_2doi
040 _bspa
_dES-MaUEC
050 4 _aQA76.9.N38
_b2015 EB
100 1 _aPolzehl, Tim.
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/no2016019824
_1http://viaf.org/viaf/762145857107622921545/
245 1 0 _aPersonality in Speech
_bAssessment and Automatic Classification
_cby Tim Polzehl.
264 1 _aCham
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (XIV, 176 páginas 39 ilustraciones, 34 ilustraciones a color.)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aT-Labs Series in Telecommunication Services,
_x2192-2810
490 0 _aEngineering (Springer-11647)
520 3 _aThis work combines interdisciplinary knowledge and experience from research fields of psychology, linguistics, audio-processing, machine learning, and computer science. The work systematically explores a novel research topic devoted to automated modeling of personality expression from speech. For this aim, it introduces a novel personality assessment questionnaire and presents the results of extensive labeling sessions to annotate the speech data with personality assessments. It provides estimates of the Big 5 personality traits, i.e. openness, conscientiousness, extroversion, agreeableness, and neuroticism. Based on a database built on the questionnaire, the book presents models to tell apart different personality types or classes from speech automatically.
988 _aEBSPRINGER_2018
650 7 _aProceso en lenguaje natural (Informática)
_2embne
_9158738
776 0 8 _iEdición impresa:
_z9783319095172
776 0 8 _iEdición impresa:
_z9783319095158
776 0 8 _iEdición impresa:
_z9783319362045
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-09516-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_eIG
_zSI