The Media Information Laboratory is organized into three research groups: media recognition, signal processing, and computing theory.
Today, technological advances are occurring so rapidly that it is as if a technology should have already been realized by the moment someone imagines it. In the media information processing domain, the gap between fundamental and applied research is getting narrower and narrower.
Under such circumstances, we not only pursue principled and theoretical approaches to address various issues, but try to learn as much as possible from findings and experiences in the real world as well. Our goal is to contribute to solving social problems and creating a prosperous society through our activities.
[Award] Tsubasa Ochiai has received The 16th Itakura Prize Innovative Young Researcher Award from the Acoustical Society of Japan.
"Joint Optimization of Microphone Array Signal Processing and Speech Recognition"
[Award] Hirokazu Kameoka has received The 10th RIEC Award from Research Institute of Electrical Communication Tohoku University.
"Audio Signal Decomposition and Scene Analysis"
Rintaro Ikeshita has received the 49th Awaya Kiyoshi Science Promotion Award from the Acoustical Society of Japan.
Rintaro Ikeshita and Tomohiro Nakatani, "Multiplicative update algorithms for independent vector analysis," 2020 Autumn meeting of Acoustical Society of Japan, 1-1-13, 2020.
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi and Kunio Kashino has received a "Best Research Paper Award Honorable Mention"
at the 26th Symposium on Sensing via Image Information.
Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi and Kunio Kashino(2020). "Adaptive Spotting: 3D Point Cloud Object Search Based on Deep Reinforcement Learning," The 26th Symposium on Sensing via Image Information.
Last Update: 06/17/2022