12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Learning Place-Names from Spoken Utterances and Localization Results by Mobile Robot

Ryo Taguchi (1), Yuji Yamada (1), Koosuke Hattori (1), Taizo Umezaki (1), Masahiro Hoguro (2), Naoto Iwahashi (3), Kotaro Funakoshi (4), Mikio Nakano (4)

(1) Nagoya Institute of Technology, Japan
(2) Chubu University, Japan
(3) NICT, Japan
(4) Honda Research Institute Japan Co. Ltd. , Japan

This paper proposes a method for the unsupervised learning of place-names from pairs of a spoken utterance and a localization result, which represents a current location of a mobile robot, without any priori linguistic knowledge other than a phoneme acoustic model. In previous work, we have proposed a lexical learning method based on statistical model selection. This method can learn the words that represent a single object, such as proper nouns, but cannot learn the words that represent classes of objects, such as general nouns. This paper describes improvements of the method for learning both a phoneme sequence of each word and a distribution of objects that the word represents.

Full Paper

Bibliographic reference.  Taguchi, Ryo / Yamada, Yuji / Hattori, Koosuke / Umezaki, Taizo / Hoguro, Masahiro / Iwahashi, Naoto / Funakoshi, Kotaro / Nakano, Mikio (2011): "Learning place-names from spoken utterances and localization results by mobile robot", In INTERSPEECH-2011, 1325-1328.