LSTM-based Turn-taking Estimation Model using Lexical/Prosodic Contents and Dialog History-Reference-Cited by-同舟云学术

LSTM-based Turn-taking Estimation Model using Lexical/Prosodic Contents and Dialog History

Published:2019-03-01 Issue:2 Volume:34 Page:C-I65_1-9
ISSN:1346-0714
Container-title:Transactions of the Japanese Society for Artificial Intelligence
language:en
Short-container-title:Transactions of the Japanese Society for Artificial Intelligence

Author:

Liu Chaoran¹,Ishi Carlos¹,Ishiguro Hiroshi²

Affiliation:

1. ATR, HIL

2. Graduate School of Engineering Science, Osaka University

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Link

https://www.jstage.jst.go.jp/article/tjsai/34/2/34_C-I65/_pdf

Reference34 articles.

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5. [Ho 16] Ho, T.-N., Chong, T. Y., and Chng, E. S.: Improving efficiency of sentence boundary detection by feature selection, in Proc. of the Asian Conference on Intelligent Information and Database Systems, pp. 594–603 (2016)