• DocumentCode
    3339347
  • Title

    Human-Robot Interface Using System Request Utterance Detection Based on Acoustic Features

  • Author

    Takiguchi, Tetsuya ; Sako, Atsushi ; Revaud, Jerome ; Yamagata, Tomoyuki ; Miyake, Nobuyuki ; Ariki, Yasuo

  • Author_Institution
    Organ. of Adv. Sci. & Technol., Kobe Univ., Kobe
  • fYear
    2008
  • fDate
    24-26 April 2008
  • Firstpage
    304
  • Lastpage
    309
  • Abstract
    For a mobile robot to serve people in actual environments, such as a living room or a party room, it must be easy to control because some users might not even be capable of operating a computer keyboard. For nonexpert users, speech recognition is one of the most effective communication tools when it comes to a hands-free (human-robot) interface. This paper describes a new mobile robot with hands-free speech recognition. For a hands- free speech interface, it is important to detect commands for a robot in spontaneous utterances. Our system can understand whether user´s utterances are commands for the robot or not, where commands are discriminated from human- human conversations by acoustic features. Then the robot can move according to the user´s voice (command). In order to capture the user´s voice only, a robust voice detection system with AdaBoost is also described.
  • Keywords
    human computer interaction; mobile robots; speech recognition; speech-based user interfaces; acoustic feature; hands-free speech recognition; human-robot interface; mobile robot; system request utterance detection; Acoustic noise; Acoustic signal detection; Background noise; Cameras; Communication system control; Microphones; Mobile robots; Robot vision systems; Speech recognition; Working environment noise; acoustic features; speech recognition; utterance verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering, 2008. MUE 2008. International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-0-7695-3134-2
  • Type

    conf

  • DOI
    10.1109/MUE.2008.87
  • Filename
    4505740