Personality in Speech:Assessment and Automatic Classification
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 th...
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| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57641 |
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oai:scholar.dlu.edu.vn:DLU123456789-576412023-11-11T05:47:20Z Personality in Speech:Assessment and Automatic Classification Polzehl, Tim Signal, Speech Processing Natural language processing Engineering 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. 2015-08-19T08:46:11Z 2015-08-19T08:46:11Z 2015 Book 978-3-319-09516-5 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57641 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Natural language processing Engineering |
| spellingShingle |
Natural language processing Engineering Polzehl, Tim Signal, Speech Processing Personality in Speech:Assessment and Automatic Classification |
| description |
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. |
| format |
Book |
| author |
Polzehl, Tim Signal, Speech Processing |
| author_facet |
Polzehl, Tim Signal, Speech Processing |
| author_sort |
Polzehl, Tim |
| title |
Personality in Speech:Assessment and Automatic Classification |
| title_short |
Personality in Speech:Assessment and Automatic Classification |
| title_full |
Personality in Speech:Assessment and Automatic Classification |
| title_fullStr |
Personality in Speech:Assessment and Automatic Classification |
| title_full_unstemmed |
Personality in Speech:Assessment and Automatic Classification |
| title_sort |
personality in speech:assessment and automatic classification |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57641 |
| _version_ |
1819770910451695616 |