Art

J-GLOBAL ID：201702218975254079   Reference number：17A1149410

Meeting Extracts for Group Discussions using Multimodal Convolutional Neural Networks

マルチモーダルCNNを用いた議論のための会話の抜粋

Author (3)： NIHEI FUMIO (成蹊大 大学院理工学研究科) ,  NAKANO YUKIKO (成蹊大 理工) ,  TAKASE YUTAKA (成蹊大 理工)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 177(HCS2017 47-58)  Page： 55-59  Publication year： Aug. 13, 2017 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *conversation ,  feature selection ,  fusion ,  multimode ,  *neural network(biomodel) ,  opinion ,  *speech recognition ,  *feature extraction ,  *motion detection ,  action ,  speech analysis ,  utterance ,  corpus ,  machine learning
Semi thesaurus term： 会話抜粋 ,  マルチモーダルフュージョン ,  convolutional neuralnetwork ,  argument ,  MFCC ,  頭部動作

JST classification (2)： Pattern recognition  (JE07000S) ,  Artificial intelligence  (JE08000Z)

Reference (19)：

• Murray, G and Carenini, G. 2008. Summarizing Spoken and Written Conversations. Proceedings of the Conference on EMNPL, Association for Computational Linguistics, 773-782.
• Xie, S. Hakkani-Tur, D. Favre, B. and Liu, Y. 2009. Integrating prosodic features in extractive meeting summarization. IEEE Workshop on Speech Recognition and Understanding, 387-391.
• Wang, L and Cardie, C. 2012. Focused Meeting Summarization via Unsupervised Relation Extraction. Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics, 304-313.
• Maskey, S and Hirschberg, J. 2005. Comparing lexical, acoustic/prosodic, structural and discourse features for speech summarization. INTERSPEECH-2005, 621-624.
• Nihei, F. Nakano, YI. and Takase, Y. 2016. Meeting Extracts for Discussion Summarization Based on Multimodal Nonverbal Information. Proceedings of the 18th ACM International Conference on Multimodal Interaction, ACM, 185-192.

Terms in the title (4)： マルチモーダル ,  CNN ,  議論 ,  会話