• DocumentCode
    3571172
  • Title

    A mechanical voice system and its adaptive learning for the mimicry of human vocalization

  • Author

    Higashimoto, Toshio ; Sawada, Hideyku

  • Author_Institution
    Dept. of Intelligent Mech. Syst. Eng., Kagawa Univ., Takamatsu, Japan
  • Volume
    2
  • fYear
    2003
  • Firstpage
    1040
  • Abstract
    A mechanical model of a human vocal system is being developed based on mechatronics technology. Although various ways of vocal sound production have been actively studied, mechanical construction is considered to advantageously realize natural vocalization with its fluid dynamics. The mechanical vocal system has several motors to manipulate the vocal tract and the vocal cords. It became possible to learn the relations between motor positions and the produced vocal sounds by an auditory feedback, and produce Japanese five vowels (a, i, u, e, o) by mimicking a human speech. In addition, the mechanical model could produce some consonant sounds by attaching a nasal cavity with the dynamic control. This paper introduces an adaptive learning algorithm for the mimicry of human vocalization, and presents a listening experiment of generated sounds for the evaluation.
  • Keywords
    adaptive systems; learning systems; mechatronics; speech recognition; speech synthesis; adaptive learning algorithm; auditory feedback; dynamic control; fluid dynamics; human speech; human vocal system; human vocalization; mechanical construction; mechanical voice system; mechatronics technology; mimicry; motor positions; nasal cavity; natural vocalization; vocal cords manipulation; vocal sound production; vocal tract manipulation; Acoustical engineering; Adaptive systems; Communication system control; Control systems; Feedback; Fluid dynamics; Human voice; Mechanical systems; Production; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
  • Print_ISBN
    0-7803-7866-0
  • Type

    conf

  • DOI
    10.1109/CIRA.2003.1222323
  • Filename
    1222323