Personality in Speech

Assessment and Automatic Classification

  • Tim Polzehl

Part of the T-Labs Series in Telecommunication Services book series (TLABS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Tim Polzehl
    Pages 1-19
  3. Tim Polzehl
    Pages 21-41
  4. Tim Polzehl
    Pages 43-53
  5. Tim Polzehl
    Pages 81-138
  6. Tim Polzehl
    Pages 139-162
  7. Tim Polzehl
    Pages 163-172
  8. Back Matter
    Pages 173-176

About this book

Introduction

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.

Keywords

Allport’s Trait Organization Big 5 Personality Traits Multi-Speaker Data Recordings Presents Encouraging Modeling Methods Speech-based Personality Assessment to Assess personality from Speech

Authors and affiliations

  • Tim Polzehl
    • 1
  1. 1.Telekom Innovation LaboratoriesQuality and Usability LabTU BerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09516-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-09515-8
  • Online ISBN 978-3-319-09516-5
  • Series Print ISSN 2192-2810
  • Series Online ISSN 2192-2829
  • About this book
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