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140908 ||| eng |
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|a 9783319095165
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| 100 |
1 |
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|a Polzehl, Tim
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| 245 |
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|a Personality in Speech
|h Elektronische Ressource
|b Assessment and Automatic Classification
|c by Tim Polzehl
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| 250 |
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|a 1st ed. 2015
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2015, 2015
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| 300 |
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|a XIV, 176 p. 39 illus., 34 illus. in color
|b online resource
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| 653 |
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|a User interfaces (Computer systems)
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| 653 |
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|a Computational Linguistics
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| 653 |
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|a Computational linguistics
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Personality and Differential Psychology
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| 653 |
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|a Difference (Psychology)
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| 653 |
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|a Signal processing
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| 653 |
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|a User Interfaces and Human Computer Interaction
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| 653 |
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|a Personality
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| 653 |
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|a Human-computer interaction
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a T-Labs Series in Telecommunication Services
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| 028 |
5 |
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|a 10.1007/978-3-319-09516-5
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-09516-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 621.382
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| 520 |
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|a This 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
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