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Personality in Speech: Assessment and Automatic Classification

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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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Detail Information

Series Title

T-Labs Series in Telecommunication Services

Call Number

155.28 POL p

Publisher

Switzerland : Springer Cham., 2015

Collation

XIV, 176

Language

English

ISBN/ISSN

978-3-319-09516-5

Classification

155.28

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Computational Linguistics

Specific Detail Info

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Statement of Responsibility

Tim Polzehl

Other Information

Cataloger

Erwin

Source

https://link.springer.com/10.1007/978-3-319-09516-5

Validator

Taufik

Digital Object Identifier (DOI)

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