DocumentCode
2407122
Title
A multimodal corpus for modeling turn management in multi-party conversations
Author
Furukawa, H. ; Nishida, M. ; Jokinen, K. ; Yamamoto, S.
Author_Institution
Dept. of Inf. Syst., Doshisha Univ., Kyoto, Japan
fYear
2011
fDate
26-28 Oct. 2011
Firstpage
142
Lastpage
146
Abstract
Spoken interactions usually have accurate timing and alignment between interlocutors: turn-taking and topic flow are managed in a manner that provides conversational fluency and smooth progress of the interaction. Turn-taking and topic flow are also important in applications such as robot companions that interact with a user in real time. The creation of a multimodal conversational corpus for modeling turn management in multi-party conversations is described. The relation between the interlocutors´ spoken utterances and eye-gaze based on the corpus is investigated.
Keywords
interactive systems; eye-gaze; interlocutor spoken utterance; multimodal conversational corpus; multiparty conversations; robot companions; spoken interactions; topic flow; turn management modelling; turn-taking; Accuracy; Educational institutions; Floors; Humans; Speech; Support vector machines; Timing; dialogue; multimodal corpus; speech analysis; turn management;
fLanguage
English
Publisher
ieee
Conference_Titel
Speech Database and Assessments (Oriental COCOSDA), 2011 International Conference on
Conference_Location
Hsinchu
Print_ISBN
978-1-4577-0930-2
Type
conf
DOI
10.1109/ICSDA.2011.6085996
Filename
6085996
Link To Document