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Personality in speech : assessment and automatic classification

Author: Tim Polzehl
Publisher: Cham : Springer, [2014] ©2015
Series: T-labs series in telecommunication services
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Polzehl, Tim.
Personality in Speech : Assessment and Automatic Classification.
Cham : Springer International Publishing, ©2014
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Tim Polzehl
ISBN: 9783319095165 3319095161 3319095153 9783319095158
OCLC Number: 890326538
Description: 1 online resource (xiv, 176 pages) : illustrations (some color).
Contents: Preface; Contents; Introduction; 1 Personality Assessment in Psychology; 1.1 Definitions of Personality; 1.2 Trait Theory of Personality; 1.2.1 Allport's Trait Organization; 1.2.2 Eysenck's P-E-N Theory of Super Factors; 1.2.3 Cattell's 16 Personality Source Traits; 1.2.4 Development of the ``Big 5'' Factor Inventories; 1.2.5 Costa and McCrae and the ``NEO-'' Inventories ; 1.2.6 The Development of the German NEO-FFI; 1.2.7 Super Short Forms of Five Factor Inventories; 1.2.8 Trait Theories Comparison and Criticism; 1.3 Summary; References; 2 Speech-Based Personality Assessment. 2.1 Contemporary Terminology in Speech Analysis2.1.1 Prosodic Information and their Temporal Expansion; 2.1.2 Extralinguistic and Paralinguistic Information; 2.2 Vocal Cues of Personality Perception; 2.2.1 Linking Perceptual Speech Properties and Personality; 2.2.2 Correlation between Perceptual Personality and Acoustic Measurements; 2.2.3 Work From Speech Synthesis; 2.2.4 Signal-Based Automated Personality Modeling; 2.2.5 Other Related Studies; 2.2.6 Own Prior Work; 2.3 Chapter Summary; References; 3 Database and Labeling; 3.1 Text-Dependent Data Recordings. 3.2 Text-Independent Data Recordings3.3 Multi-Speaker Data Recordings; 3.4 Annotating the Recordings with Personality Ratings; 3.5 Summary; References; 4 Analysis of Human Personality Perception; 4.1 Auditory Impressions and Personality Perception Hypotheses; 4.2 Distributions and Correlation Analysis of Rating Responses; 4.3 Factor Analyzing the NEO-FFI Item Responses; 4.4 Analyses of Variance; 4.5 Summary; References; 5 Automatic Personality Estimation; 5.1 Automatic Extraction of Personality Cues from Speech; 5.1.1 Intensity; 5.1.2 Pitch; 5.1.3 Spectrals; 5.1.4 Loudness; 5.1.5 MFCC. 5.1.6 Formants5.1.7 Other Descriptors; 5.2 Voice Activity Detection and Segmentation; 5.3 Feature Definition; 5.3.1 Intensity; 5.3.2 Pitch; 5.3.3 Spectrals; 5.3.4 Loudness; 5.3.5 MFCC; 5.3.6 Formants; 5.3.7 Other Features; 5.4 Feature Selection; 5.5 Normalization; 5.6 Modeling for Personality Classification and Trait Score Prediction using SVM; 5.6.1 Personality Classification Using SVM; 5.6.2 Trait Score Prediction Using SVM; 5.6.3 Non-Linear Mapping and Parameter Tuning; 5.7 Evaluation; 5.7.1 Evaluation Metrics; 5.7.2 Evaluation Method; 5.8 Results from Text-Dependent Data. 5.8.1 Results from Automatic Classification5.8.2 Results from Automatic Trait Score Prediction; 5.9 Results from Text-Independent Data; 5.9.1 Results from Automatic Classification; 5.9.2 Results from Automatic Trait Score Prediction; 5.10 Results from Multi-Speaker Data; 5.10.1 Results from Automatic Trait Score Prediction; References; 6 Discussion of the Results; 6.1 Results from Classification of Personality Targets; 6.2 Prediction of Individual Traits Scores from Speech; 6.2.1 Prediction of Openness; 6.2.2 Prediction of Conscientiousness; 6.2.3 Prediction of Extroversion.
Series Title: T-labs series in telecommunication services
Responsibility: Tim Polzehl.

Abstract:

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. Based on a  Read more...

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"The focus of this study, written by a researcher atTelekom Innovation Laboratories in Berlin, is speech. Researchers andinnovators in human-computer interactions will find interesting and Read more...

 
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