TY - GEN
T1 - Improvement of utterance clustering by using employees' sound and area data
AU - Kawase, Tetsuya
AU - Takehara, Masanori
AU - Tamura, Satoshi
AU - Hayamizu, Satoru
AU - Tenmoku, Ryuhei
AU - Kurata, Takeshi
PY - 2014
Y1 - 2014
N2 - In this paper, we propose to use staying area data toward the estimation of serving time for customers. To classify utterances enables us to estimate conversation types between speakers. However, its performance becomes lower in real environments. We propose a method using area data with sound data to solve this problem. We also propose a method to estimate the conversation types using the decision trees. They were tested with the data recorded in a Japanese restaurant. In the experiment to classify utterances, the proposed method performed better than the method using only sound data. In the experiment to estimate the conversation types, we succeeded to recover 70% of the mis-classified conversations using both of sound and area data.
AB - In this paper, we propose to use staying area data toward the estimation of serving time for customers. To classify utterances enables us to estimate conversation types between speakers. However, its performance becomes lower in real environments. We propose a method using area data with sound data to solve this problem. We also propose a method to estimate the conversation types using the decision trees. They were tested with the data recorded in a Japanese restaurant. In the experiment to classify utterances, the proposed method performed better than the method using only sound data. In the experiment to estimate the conversation types, we succeeded to recover 70% of the mis-classified conversations using both of sound and area data.
KW - Area data
KW - Conversation type
KW - Serving time for customers
KW - Utterance classification
UR - http://www.scopus.com/inward/record.url?scp=84905233522&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905233522&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6854160
DO - 10.1109/ICASSP.2014.6854160
M3 - Conference contribution
AN - SCOPUS:84905233522
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3047
EP - 3051
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -