Please see below the title and abstract of Dr Taniguchi's talk and abstract:
Nonparametric Bayesian Word Discovery by a Robot: Introduction to Symbol Emergence in Robotics
Word discovery from speech signals is a crucial task for a human infant to learn a language. Differently from conventional approach towards automatic speech recognition, infants cannot use labeled data, i.e., transcribed text. They have to discover words from speech signals and learn meanings of
the words in an unsupervised manner. We have been developing machine learning methods that enable a robot to learn words automatically. In this talk, I am introducing two unsupervised machine learning methods. One is for simultaneous learning of lexicons and object categories using multimodal latent Dirichlet allocation (MLDA) and nested Pitman-Yor language model (NPYLM). The other is nonparametric Bayesian double articulation analyzer (NPB-DAA) for learning phonemes and words directly from speech signals using hierarchical Dirichlet process hidden language model (HDP-HLM). The both methods are based on Bayesian nonparametrics. I am also introducing our research field called symbol emergence in robotics.
Dr Taniguchi's bio
Tadahiro Taniguchi received ME and PhD degrees from Kyoto Universityin 2003 and 2006, re-spectively. From April 2005 to March 2006, he was a Japan Society for the Promotion of Science (JSPS) research fellow (DC2) in the Department of Mechanical Engineering and Science, Graduate School of Engineering, Kyoto University. From April 2006 to March 2007, he was a JSPS research fellow (PD) in the same department. From April 2007 to March 2008, he was a JSPS research fellow in the Department of Systems Science, Graduate School of Informatics, Kyoto University. From April 2008 to March 2010, he was an assistant professor at the Department of Human and Computer Intelligence, Ritsumeikan University. Since April 2010, he has been an associate professor in the same department. From September 2015 to September 2016, he has been a visiting associate professor in the Department of Electrical and Electronic Engineering, Imperial College London.
He has been engaged in research on machine learning, emergent systems,decentralized autonomous systems and cognitive robotics. He proposed the concept of symbol emergence system and has been conducted series of studies related to the concept. His research interests also include intelligent vehicle and language acquisition by autonomous robots.