Personality in Speech [electronic resource] : Assessment and Automatic Classification / by Tim Polzehl.
By: Polzehl, Tim [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: T-Labs Series in Telecommunication Services: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XIV, 176 p. 39 illus., 34 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319095165.Subject(s): Engineering | User interfaces (Computer systems) | Computational linguistics | Personality | Social psychology | Engineering | Signal, Image and Speech Processing | Personality and Social Psychology | User Interfaces and Human Computer Interaction | Computational LinguisticsAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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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