Papers by Yuya Chiba
Construction and Analysis of a Multimodal Chat-talk Corpus for Dialog Systems Considering Interpersonal Closeness (2020.lrec-1)
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| Challenge: | a large-scale multimodal dialog corpus is needed to accelerate research on dialog systems that can handle social signals and verbal information. |
| Approach: | They construct a multimodal dialog corpus focusing on the relationship between speakers and 19 pairs of participants. |
| Outcome: | The proposed system is based on a multimodal dialog corpus of 19,303 utterances (10 hours) from 19 pairs of participants. |
Collection and Analysis of Travel Agency Task Dialogues with Age-Diverse Speakers (2022.lrec-1)
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| Challenge: | Using deep neural networks, task-oriented dialogue systems can be used to generate an appropriate response to users' inputs. |
| Approach: | They collected a multimodal dialogue corpus with a wide range of speaker ages and set up a dialogue task based on travel . results suggest adult speakers have more independent opinions, older speakers express opinions more frequently compared with other age groups, and operators expressed a smile more frequently to minor speakers. |
| Outcome: | The results show that adult speakers have more independent opinions, the older speakers express their opinions more frequently compared with other age groups, and the operators expressed a smile more frequently to the minor speakers. |
Investigating the Impact of Incremental Processing and Voice Activity Projection on Spoken Dialogue Systems (2025.coling-main)
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| Challenge: | a large language model (LLM) is gaining attention for its ability to model human-like turn-taking in human conversations. |
| Approach: | They developed a turn-taking model that can be trained in unsupervised manner using spoken dialogue data between two speakers. |
| Outcome: | The proposed model can be trained in unsupervised manner using spoken dialogue data between two speakers. |