Personality in Speech [electronic resource] : Assessment and Automatic Classification / by Tim Polzehl.
Series: T-Labs Series in Telecommunication ServicesPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XIV, 176 p. 39 illus., 34 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783319095165
- 621.382 23
- TK5102.9
- TA1637-1638
- TK7882.S65
eBooks
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.