Toward a social signaling framework : activity and emphasis in speech
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/41537 |
| _version_ | 1826189409377058816 |
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| author | Stoltzman, William T |
| author2 | Alex P. Pentland. |
| author_facet | Alex P. Pentland. Stoltzman, William T |
| author_sort | Stoltzman, William T |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. |
| first_indexed | 2024-09-23T08:14:16Z |
| format | Thesis |
| id | mit-1721.1/41537 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:14:16Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/415372019-04-09T17:31:04Z Toward a social signaling framework : activity and emphasis in speech Stoltzman, William T Alex P. Pentland. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references (p. 67-70). Language is not the only form of verbal communication. Loudness, pitch, speaking rate, and other non-linguistic speech features are crucial aspects of human spoken interaction. In this thesis, we separate these speech features into two categories -- vocal Activity and vocal Emphasis -- and propose a framework for classifying high-level social behavior according to those metrics. We present experiments showing that non-linguistic speech analysis alone can account for appreciable portions of social phenomena. We report statistically significant results in measuring the persuasiveness of pitches, the effectiveness of customer service representatives, and the severity of depression. Effect sizes of these studies explain up to 60% of the sample variances and yield binary decision accuracies nearing 90%. by William T. Stoltzman. M.Eng. 2008-05-19T14:57:57Z 2008-05-19T14:57:57Z 2006 2006 Thesis http://hdl.handle.net/1721.1/41537 216884351 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 70 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Stoltzman, William T Toward a social signaling framework : activity and emphasis in speech |
| title | Toward a social signaling framework : activity and emphasis in speech |
| title_full | Toward a social signaling framework : activity and emphasis in speech |
| title_fullStr | Toward a social signaling framework : activity and emphasis in speech |
| title_full_unstemmed | Toward a social signaling framework : activity and emphasis in speech |
| title_short | Toward a social signaling framework : activity and emphasis in speech |
| title_sort | toward a social signaling framework activity and emphasis in speech |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/41537 |
| work_keys_str_mv | AT stoltzmanwilliamt towardasocialsignalingframeworkactivityandemphasisinspeech |