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A robotic voice simulator and the interactive training for hearing-impaired people.

Sawada H, Kitani M, Hayashi Y - J. Biomed. Biotechnol. (2008)

Bottom Line: 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 mechanical construction of the robot and how it autonomously acquires the vocalization skill in the auditory feedback learning by listening to human speech.Then the training system is described, together with the evaluation of the speech training by auditory impaired people.

View Article: PubMed Central - PubMed

Affiliation: Department of Intelligent Mechanical Systems Engineering, Faculty of Engineering, Kagawa University, Japan. sawada@eng.kagawa-u.ac.jp

ABSTRACT
A talking and singing robot which adaptively learns the vocalization skill by means of an auditory feedback learning algorithm is being developed. 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. In this study, the robot is applied to the training system of speech articulation for the hearing-impaired, because the robot is able to reproduce their vocalization and to teach them how it is to be improved to generate clear speech. The paper briefly introduces the mechanical construction of the robot and how it autonomously acquires the vocalization skill in the auditory feedback learning by listening to human speech. Then the training system is described, together with the evaluation of the speech training by auditory impaired people.

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Mapping results ofsix different voices given by hearing-impaired speakers no. a–c.
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fig4: Mapping results ofsix different voices given by hearing-impaired speakers no. a–c.

Mentions: Voices of hearing-impaired people then were given to the robot so as to confirm that thearticulatory motion would be reproduced by the robot. Figure 4 shows themapping results of six different voices given by hearing-impaired speakers no. a, no. b, no. c, no. d, no. e, and no. f. The same colors indicate thevocal sounds generated by the same vowels. In Figure 5, vocal tract shapesestimated by the robot from voices of hearing-impaired person no. aare presented, together with the comparison of the vocal tract shapes estimatedby the able-bodied speaker no. 1 voices.


A robotic voice simulator and the interactive training for hearing-impaired people.

Sawada H, Kitani M, Hayashi Y - J. Biomed. Biotechnol. (2008)

Mapping results ofsix different voices given by hearing-impaired speakers no. a–c.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2279150&req=5

fig4: Mapping results ofsix different voices given by hearing-impaired speakers no. a–c.
Mentions: Voices of hearing-impaired people then were given to the robot so as to confirm that thearticulatory motion would be reproduced by the robot. Figure 4 shows themapping results of six different voices given by hearing-impaired speakers no. a, no. b, no. c, no. d, no. e, and no. f. The same colors indicate thevocal sounds generated by the same vowels. In Figure 5, vocal tract shapesestimated by the robot from voices of hearing-impaired person no. aare presented, together with the comparison of the vocal tract shapes estimatedby the able-bodied speaker no. 1 voices.

Bottom Line: 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 mechanical construction of the robot and how it autonomously acquires the vocalization skill in the auditory feedback learning by listening to human speech.Then the training system is described, together with the evaluation of the speech training by auditory impaired people.

View Article: PubMed Central - PubMed

Affiliation: Department of Intelligent Mechanical Systems Engineering, Faculty of Engineering, Kagawa University, Japan. sawada@eng.kagawa-u.ac.jp

ABSTRACT
A talking and singing robot which adaptively learns the vocalization skill by means of an auditory feedback learning algorithm is being developed. 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. In this study, the robot is applied to the training system of speech articulation for the hearing-impaired, because the robot is able to reproduce their vocalization and to teach them how it is to be improved to generate clear speech. The paper briefly introduces the mechanical construction of the robot and how it autonomously acquires the vocalization skill in the auditory feedback learning by listening to human speech. Then the training system is described, together with the evaluation of the speech training by auditory impaired people.

Show MeSH
Related in: MedlinePlus