Personality in Speech Assessment and Automatic Classification / by Tim Polzehl.
By: Polzehl, Tim., autor.
Material type:
E-bookSeries: (T-Labs Series in Telecommunication Services,, 2192-2810); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (XIV, 176 páginas 39 ilustraciones, 34 ilustraciones a color.).ISBN: 9783319095165.Subject: Proceso en lenguaje natural (Informática)
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: 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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9 .N38 P659 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112382 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| QA76.9.N38 H937 2016 EB Hybrid Approaches to Machine Translation | QA76.9.N38 I584 2018 EB Intelligent Natural Language Processing: Trends and Applications | QA76.9.N38 N493 2016 EB New Directions in Empirical Translation Process Research : Exploring the CRITT TPR-DB | QA76.9 .N38 P659 2015 EB Personality in Speech Assessment and Automatic Classification | QA76.9 .N38 R637 2015 EB Advanced Applications of Natural Language Processing for Performing Information Extraction | QA76.9.N38 S57 2016 EB Situated Dialog in Speech-Based Human-Computer Interaction | QA76.9.N38 S644 2018 EB Speech and Language Processing for Human-Machine Communications Proceedings of CSI 2015 |
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.
There are no comments on this title.