Personality in Speech

Assessment and Automatic Classification

Nonfiction, Science & Nature, Technology, Electronics, Health & Well Being, Psychology, Personality
Cover of the book Personality in Speech by Tim Polzehl, Springer International Publishing
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Author: Tim Polzehl ISBN: 9783319095165
Publisher: Springer International Publishing Publication: August 30, 2014
Imprint: Springer Language: English
Author: Tim Polzehl
ISBN: 9783319095165
Publisher: Springer International Publishing
Publication: August 30, 2014
Imprint: Springer
Language: English

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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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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