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Disambiguation of "Chiba, Yuya"

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Incremental Response Generation Using Prefix-to-Prefix Model for Dialogue System.

, , , and . GCCE, page 349-350. IEEE, (2020)

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Kiyoshi Chiba

Karim Chibane

Idir Chibane

Godfrey Chibanguza

Kuuya Chibanguza

 

Other publications of authors with the same name

Analysis of efficient multimodal features for estimating user's willingness to talk: Comparison of human-machine and human-human dialog., , and . APSIPA, page 428-431. IEEE, (2017)Collection of Example Sentences for Non-task-Oriented Dialog Using a Spoken Dialog System and Comparison with Hand-Crafted DB., , , and . HCI (29), volume 713 of Communications in Computer and Information Science, page 458-464. Springer, (2017)Detection of Singing Mistakes from Singing Voice., , , and . IIH-MSP (2), volume 82 of Smart Innovation, Systems and Technologies, page 130-136. Springer, (2017)Robot: Have I done something wrong? - Analysis of prosodic features of speech commands under the robot's unintended behavior., , , and . ICAILP, page 887-890. IEEE, (2014)User Modeling by Using Bag-of-Behaviors for Building a Dialog System Sensitive to the Interlocutor's Internal State., , , and . SIGDIAL Conference, page 74-78. The Association for Computer Linguistics, (2014)Improving User Impression in Spoken Dialog System with Gradual Speech Form Control., , , and . SIGDIAL Conference, page 235-240. Association for Computational Linguistics, (2018)Data Collection and Analysis for Automatically Generating Record of Human Behaviors by Environmental Sound Recognition., , , and . IIH-MSP (2), volume 110 of Smart Innovation, Systems and Technologies, page 149-156. Springer, (2018)Melody Completion Based on Convolutional Neural Networks and Generative Adversarial Learning., , , and . IIH-MSP (2), volume 110 of Smart Innovation, Systems and Technologies, page 116-123. Springer, (2018)Variation across Everyday Conversations: Factor Analysis of Conversations using Semantic Categories of Functional Expressions., and . PACLIC, page 160-169. Association for Computational Lingustics, (2021)Spoken Term Detection Based on Acoustic Models Trained in Multiple Languages for Zero-Resource Language., , , and . GCCE, page 351-352. IEEE, (2020)