TY  - THES
N2  - Conversations are at the core of everyday social interactions. The interactions between conversants are preformed within the realm of a sophisticated and self-managed turn taking system. In human conversations, the turn taking system supports minimal speaker overlap during turn transitions and minimum gaps between turns. Spoken dialogue systems are a new form of conversational user interface that permits users to use their voice to interact with the computer. As such, the turn taking capabilities of SDS should evolve from a simple timeout to a more human-like model. Recent advances in turn taking systems for SDS use different local features of the last few utterances to predict turn transition. This thesis explores using a summary of past speaker behavior to better predict turn transitions. We believe that the summary features represent an evolving model of the other conversant.
DO  - 10.6083/m4j965jd
DO  - DOI
AB  - Conversations are at the core of everyday social interactions. The interactions between conversants are preformed within the realm of a sophisticated and self-managed turn taking system. In human conversations, the turn taking system supports minimal speaker overlap during turn transitions and minimum gaps between turns. Spoken dialogue systems are a new form of conversational user interface that permits users to use their voice to interact with the computer. As such, the turn taking capabilities of SDS should evolve from a simple timeout to a more human-like model. Recent advances in turn taking systems for SDS use different local features of the last few utterances to predict turn transition. This thesis explores using a summary of past speaker behavior to better predict turn transitions. We believe that the summary features represent an evolving model of the other conversant.
T1  - Using past speaker behavior to better predict turn transitions
DA  - 2017
AU  - Meshorer, Tomer M.S.
L1  - https://digitalcollections.ohsu.edu/record/7640/files/Meshorer.Tomer.2017.pdf
PB  - Oregon Health and Science University
PY  - 2017
ID  - 7640
L4  - https://digitalcollections.ohsu.edu/record/7640/files/Meshorer.Tomer.2017.pdf
KW  - Humans 
KW  - Voice
KW  - Speech 
KW  - Interpersonal Relations 
KW  - Computers 
KW  - Communication 
TI  - Using past speaker behavior to better predict turn transitions
Y1  - 2017
L2  - https://digitalcollections.ohsu.edu/record/7640/files/Meshorer.Tomer.2017.pdf
LK  - https://digitalcollections.ohsu.edu/record/7640/files/Meshorer.Tomer.2017.pdf
UR  - https://digitalcollections.ohsu.edu/record/7640/files/Meshorer.Tomer.2017.pdf
ER  -