Personality in speech : Assessment and Automatic Classification /
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 th...
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Main Author: | |
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Corporate Author: | |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Series: | T-Labs Series in Telecommunication Services,
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Subjects: | |
Online Access: | Click here to view the full text content |
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Summary: | 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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Physical Description: | 1 online resource (xiv, 176 pages) 39 illustrations, 34 illustrations in color |
ISBN: | 9783319095165 |
ISSN: | 2192-2810 |