3 citations · 4 across the 5 of their papers we have counts for
5 papers
Towards a Japanese Full-duplex Spoken Dialogue System
Atsumoto Ohashi, Shinya Iizuka, Jingjing Jiang +1
Full-duplex spoken dialogue systems, which can model simultaneous bidirectional features of human conversations such as speech overlaps and backchannels, have attracted significant…
JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset
Atsumoto Ohashi, Ryu Hirai, Shinya Iizuka +1
Dialogue datasets are crucial for deep learning-based task-oriented dialogue system research. While numerous English language multi-domain task-oriented dialogue datasets have been…
Proceedings of the Dialogue Robot Competition 2023
Ryuichiro Higashinaka, Takashi Minato, Hiromitsu Nishizaki +1
The Dialogic Robot Competition 2023 (DRC2023) is a competition for humanoid robots (android robots that closely resemble humans) to compete in interactive capabilities. This is the…
Overview of Dialogue Robot Competition 2023
Takashi Minato, Ryuichiro Higashinaka, Kurima Sakai +3
We have held dialogue robot competitions in 2020 and 2022 to compare the performances of interactive robots using an android that closely resembles a human. In 2023, the third comp…
Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learning
Atsumoto Ohashi, Ryuichiro Higashinaka
Many studies have proposed methods for optimizing the dialogue performance of an entire pipeline task-oriented dialogue system by jointly training modules in the system using reinf…