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
- We had a party to celebrate the end of the first semester
- At the 28th Interim Presentation of Master’s Theses of Speech-Related Laboratories in the Tokai Region,Four M2 students, Keigo Hojo, Kaito Takahashi, Takanori Kanai and Tamon Mikawa presented.
- Takahiro Kinouchi won the Student Outstanding Presentation Award at the 28th Spring 2024 Spring Meeting of the Acoustical Society of Japan.
- M2 Keigo Hojo won the Speech Research Society Student Poster Award at Symposium on Sound Science 2024.
- At Symposium on Sound Science 2024(140th MUS and 152nd SLP Joint Research and Presentation Meeting), Keigo Hojo presented.
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