Springer Personality in Speech: Assessment and Automatic Classification (T-Labs Series in Telecommunication Services)

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. Review “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) From the Back Cover 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.