Talking robot and the analysis of autonomous voice acquisition

Mitsuhiro Nakamura, Hideyuki Sawada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

A talking and singing robot which adaptively learns the vocalization skill by an auditory feedback learning is being developed. In vocalization, the vibration of vocal cords generates a source sound, and then the sound wave is led to a vocal tract, which works as a resonance filter to determine the spectrum envelope. The robot consists of motor-controlled vocal organs such as vocal cords, a vocal tract and a nasal cavity to generate a natural voice imitating a human vocalization. The paper briefly introduces the construction of vocal cords and vocal tract for the realization of the talking robot, and then describes how the robot autonomously acquires the vocalization skill in the auditory feedback learning by listening to human talking and singing voices. The acquired voices were evaluated by listening experiments.

Original languageEnglish
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages4684-4689
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: 2006 Oct 92006 Oct 15

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Conference

Conference2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
CountryChina
CityBeijing
Period06/10/906/10/15

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Keywords

  • Auditory feedback
  • Human vocal system
  • Neural network
  • Talking robot
  • Vocalization skill

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Nakamura, M., & Sawada, H. (2006). Talking robot and the analysis of autonomous voice acquisition. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 (pp. 4684-4689). [4059157] (IEEE International Conference on Intelligent Robots and Systems). https://doi.org/10.1109/IROS.2006.282257