RESEARCH
Spoken Dialog Interface
One of the challenges of spoken dialogue systems is to prevent the user from feeling unnatural. Therefore, we build a spoken dialogue system that takes into account the timing of the other party and the pitch of the voice.
On the other hand, we also consider the semantic content of the dialogue. In this way, we are building a dialogue system that is robust and responds naturally.
Speech Recognition
We are working on improving the performance of speech recognition by improving the model of human voice (acoustic model) using HMM and DNN. We are also working on improving statistical language models.
Multimodal Interface
When interacting with speech, people often use pointing and eye contact to convey information. We are trying to realize such human-to-human interaction between humans and machines.
MEMBER
NEWS
- M2 Tamon Mikawa presented at the 15th Symposium on Dialogue Systems (102nd SLUD Workshop)
- We had an autumn BBQ.
- M2 Takanori Kanai and M2 Kaito Takahashi won the Best Paper Award at ICAICTA2024.
- M2 Takanori Kanai, M2 Kaito Takahashi, and M2 Tamon Mikawa presented at ICAICTA2024.
- D1 Tatsunari Takagi, M2 Keigo Hojo, and M2 Tamon Mikawa presented at the Chaina-Japan Speech Symposium.
ACCESS
Room F303, Research F Building,
Department of Information and Intelligent Engineering,
Toyohashi University of Technology (Kitaoka)
1-1 Hibarigaoka, Tenpaku-cho, Toyohashi, Aichi 441-8580, Japan