Natural Language Processing / Speech Processing
Understand human language.
Natural language is the most intuitive interface for most people and situations. By advancing human-robot interaction (HRI) via language, we aim to achieve “robots for everyone”, and a world where even non-experts can make use of such transformative technology. Our research in HRI spans multiple modalities and combines research in NLP, scene understanding, speech recognition, robotics, and augmented reality, in order to provide robust understanding of a wide variety of interactions.
Publications
Effective Adversarial Regularization for Neural Machine Translation
ACL 2019
By : Motoki Sato, Jun Suzuki, Shun Kiyono
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
EMNLP 2018
By : Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui
ESPnet: End-to-End Speech Processing Toolkit
Interspeech 2018
By : Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
Best Paper Award on Human-Robotics Interaction in ICRA 2018
By : Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan
