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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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Example trajectories in training.
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fig8: Example trajectories in training.

Mentions: An experiment of speech training was conducted by six hearing-impaired subjects: no. a–f (four males and two females), who study in a high school and a junior high school. In Figure 8, the training results of three subjects no. a, no. e, and no. f are shown by presenting the trajectories of voices appeared in the SOM during the training experiments. Figure 8(a) shows a result of successful training with less trialsconducted by the subject no. a. By observing the articulatory motion instructed by the robot, this subjectrecognized the difference in his articulation and effectively learned the correct motion. Figure 8(b) also shows the successful training results by the subject no. e, however, he had achieved the vocalization by repeating several trials and errors, especially for the vowels /i/ and /e/ as presented by the arrows from i1 to i5 and e1 to e5, respectively.


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

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

Example trajectories in training.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig8: Example trajectories in training.
Mentions: An experiment of speech training was conducted by six hearing-impaired subjects: no. a–f (four males and two females), who study in a high school and a junior high school. In Figure 8, the training results of three subjects no. a, no. e, and no. f are shown by presenting the trajectories of voices appeared in the SOM during the training experiments. Figure 8(a) shows a result of successful training with less trialsconducted by the subject no. a. By observing the articulatory motion instructed by the robot, this subjectrecognized the difference in his articulation and effectively learned the correct motion. Figure 8(b) also shows the successful training results by the subject no. e, however, he had achieved the vocalization by repeating several trials and errors, especially for the vowels /i/ and /e/ as presented by the arrows from i1 to i5 and e1 to e5, respectively.

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