Personality in Speech [electronic resource] : Assessment and Automatic Classification /
Polzehl, Tim.author.
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.
Description based upon print version of record.
""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 Analysis""; ""2.1.1 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 Recordings""; ""3.3 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 Formants""; ""5.1.7 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 Classification""; ""5.8.2 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""
Includes bibliographical references.
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.
Signal processing.
Image processing.
Speech processing systems.
Personality.
Social psychology.
User interfaces (Computer systems).
Computational linguistics.
Signal, Image and Speech Processing.
Personality and Social Psychology.
User Interfaces and Human Computer Interaction.
Computational Linguistics.