Acoustic-prosodic entrainment and social behavior
In conversation, speakers have been shown to entrain, or become more similar to each other, in various ways. We measure entrainment on eight acoustic features extracted from the speech of subjects playing a cooperative computer game and associate the degree of entrainment with a number of manually-l...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_19372842_v_n_p11_Levitan |
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todo:paper_19372842_v_n_p11_Levitan2023-10-03T16:36:42Z Acoustic-prosodic entrainment and social behavior Levitan, R. Gravano, A. Willson, L. Beňuš, S. Hirschberg, J. Nenkova, A. Appen ButlerHill; at and t; et al.; Google; Microsoft Research; Nuance Computational linguistics Acoustic features Amazon mechanical turks Objective measure Social behavior Speaking rate Computer games In conversation, speakers have been shown to entrain, or become more similar to each other, in various ways. We measure entrainment on eight acoustic features extracted from the speech of subjects playing a cooperative computer game and associate the degree of entrainment with a number of manually-labeled social variables acquired using Amazon Mechanical Turk, as well as objective measures of dialogue success. We find that male-female pairs entrain on all features, while male-male pairs entrain only on particular acoustic features (intensity mean, intensity maximum and syllables per second). We further determine that entrainment is more important to the perception of female-male social behavior than it is for same-gender pairs, and it is more important to the smoothness and flow of male-male dialogue than it is for female-female or mixedgender pairs. Finally, we find that entrainment is more pronounced when intensity or speaking rate is especially high or low. © 2012 Association for Computational Linguistics. Fil:Gravano, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_19372842_v_n_p11_Levitan |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Computational linguistics Acoustic features Amazon mechanical turks Objective measure Social behavior Speaking rate Computer games |
| spellingShingle |
Computational linguistics Acoustic features Amazon mechanical turks Objective measure Social behavior Speaking rate Computer games Levitan, R. Gravano, A. Willson, L. Beňuš, S. Hirschberg, J. Nenkova, A. Appen ButlerHill; at and t; et al.; Google; Microsoft Research; Nuance Acoustic-prosodic entrainment and social behavior |
| topic_facet |
Computational linguistics Acoustic features Amazon mechanical turks Objective measure Social behavior Speaking rate Computer games |
| description |
In conversation, speakers have been shown to entrain, or become more similar to each other, in various ways. We measure entrainment on eight acoustic features extracted from the speech of subjects playing a cooperative computer game and associate the degree of entrainment with a number of manually-labeled social variables acquired using Amazon Mechanical Turk, as well as objective measures of dialogue success. We find that male-female pairs entrain on all features, while male-male pairs entrain only on particular acoustic features (intensity mean, intensity maximum and syllables per second). We further determine that entrainment is more important to the perception of female-male social behavior than it is for same-gender pairs, and it is more important to the smoothness and flow of male-male dialogue than it is for female-female or mixedgender pairs. Finally, we find that entrainment is more pronounced when intensity or speaking rate is especially high or low. © 2012 Association for Computational Linguistics. |
| format |
CONF |
| author |
Levitan, R. Gravano, A. Willson, L. Beňuš, S. Hirschberg, J. Nenkova, A. Appen ButlerHill; at and t; et al.; Google; Microsoft Research; Nuance |
| author_facet |
Levitan, R. Gravano, A. Willson, L. Beňuš, S. Hirschberg, J. Nenkova, A. Appen ButlerHill; at and t; et al.; Google; Microsoft Research; Nuance |
| author_sort |
Levitan, R. |
| title |
Acoustic-prosodic entrainment and social behavior |
| title_short |
Acoustic-prosodic entrainment and social behavior |
| title_full |
Acoustic-prosodic entrainment and social behavior |
| title_fullStr |
Acoustic-prosodic entrainment and social behavior |
| title_full_unstemmed |
Acoustic-prosodic entrainment and social behavior |
| title_sort |
acoustic-prosodic entrainment and social behavior |
| url |
http://hdl.handle.net/20.500.12110/paper_19372842_v_n_p11_Levitan |
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