Personality in Speech: Assessment and Automatic Classification

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Springer, Aug 30, 2014 - Technology & Engineering - 176 pages
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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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Contents

1 Personality Assessment in Psychology
1
2 SpeechBased Personality Assessment
20
3 Database and Labeling
43
4 Analysis of Human Personality Perception
54
5 Automatic Personality Estimation
81
6 Discussion of the Results
139
7 Conclusion and Outlook
163
Appendix A Label Distributions TextDependentRecordings
173
Appendix B Label Distributions TextIndependentRecordings
175
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