3 citations · 8 across the 12 of their papers we have counts for
12 papers
KABURI-TTS: Phoneme-Keyed Activity-conditioned Bi-channel Utterance Rendering for Interaction
Ryuichiro Higashinaka, Shinnosuke Takamichi, Tetsuji Ogawa
Realizing full-duplex spoken dialogue requires large amounts of two-channel, one-speaker-per-channel conversational speech data. Although conversational text-to-speech (TTS) engine…
Integrating Facial Generation into Full-Duplex Spoken Dialogue Systems
Jingjing Jiang, Atsumoto Ohashi, Ryuichiro Higashinaka
Full-duplex spoken dialogue models, such as Moshi, enable natural, low-latency voice conversations. However, they remain limited to the audio modality, lacking the facial expressio…
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…
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
Atsumoto Ohashi, Ryuichiro Higashinaka
Post-processing networks (PPNs) are components that modify the outputs of arbitrary modules in task-oriented dialogue systems and are optimized using reinforcement learning (RL) to…
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…
Team Flow at DRC2023: Building Common Ground and Text-based Turn-taking in a Travel Agent Spoken Dialogue System
Ryu Hirai, Shinya Iizuka, Haruhisa Iseno +4
At the Dialogue Robot Competition 2023 (DRC2023), which was held to improve the capability of dialogue robots, our team developed a system that could build common ground and take m…
Cognitive Architecture Toward Common Ground Sharing Among Humans and Generative AIs: Trial on Model-Model Interactions in Tangram Naming Task
Junya Morita, Tatsuya Yui, Takeru Amaya +2
For generative AIs to be trustworthy, establishing transparent common grounding with humans is essential. As a preparation toward human-model common grounding, this study examines…
Proceedings of the Dialogue Robot Competition 2022
Ryuichiro Higashinaka, Takashi Minato, Hiromitsu Nishizaki +1
The proceedings contain papers on the dialogue systems developed by the twelve teams participating in DRC2022, as well as an overview paper summarizing the competition.
Overview of Dialogue Robot Competition 2022
Takashi Minato, Ryuichiro Higashinaka, Kurima Sakai +3
Although many competitions have been held on dialogue systems in the past, no competition has been organized specifically for dialogue with humanoid robots. As the first such attem…
Team Flow at DRC2022: Pipeline System for Travel Destination Recommendation Task in Spoken Dialogue
Ryu Hirai, Atsumoto Ohashi, Ao Guo +5
To improve the interactive capabilities of a dialogue system, e.g., to adapt to different customers, the Dialogue Robot Competition (DRC2022) was held. As one of the teams, we buil…