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Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences

  • Yuko Ozasa
  • Yasuo Ariki
  • Mikio Nakano
  • Naoto Iwahashi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7724)

Abstract

This paper presents a new method to detect unknown objects and their unknown names in object manipulation through man-robot dialog. In the method, the detection is carried out by using the information of object images and user’s speech in an integrated way. Originality of the method is to use logistic regression for the discrimination between unknown and known objects. The accuracy of the unknown object detection was 97% in the case when there were about fifty known objects.

Keywords

Object Recognition Speech Recognition Image Recognition Object Manipulation Speech Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yuko Ozasa
    • 1
  • Yasuo Ariki
    • 1
  • Mikio Nakano
    • 2
  • Naoto Iwahashi
    • 3
  1. 1.Graduate School of System InformaticsKobe UniversityKobeJapan
  2. 2.Honda Research Institute Japan Co., Ltd.Wako-shiJapan
  3. 3.Keihanna Research LaboratoriesNational Institute of Information and Communications TechnologySoraku-gunJapan

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