© 2015

Personality in Speech

Assessment and Automatic Classification


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


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.


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

  1. 1.Telekom Innovation LaboratoriesQuality and Usability LabTU BerlinGermany

Bibliographic information

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“The focus of this study, written by a researcher at Telekom Innovation Laboratories in Berlin, is speech. Researchers and innovators in human-computer interactions will find interesting and valuable interdisciplinary materials in these experiments. … detailed sectional divisions within the chapters, collected in the table of contents, will usually be adequate to rapidly aid the reader in finding the particular desired information. This is cutting-edge research with many potential applications.” (Brad Reid, Computing Reviews, November, 2015)

“Polzehl reviews research on speech and personality, including descriptive, correlational, and experimental work. … He develops a rich corpus of speech and extracts a large set of acoustic features in order to predict the Big Five personality traits … . I recommend the book for those interested in the technical details of how to develop an automated speech analysis system.” (David S. Kreiner, PsycCRITIQUES, Vol. 60 (33), August, 2015)