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Effect of Input Waveform to Vibration Speaker on Sound Quality of Electric Artificial Voice

T. Asakura*, K. Shindo

Tokyo University of Science, Chiba, 278-8510, Japan

* Corresponding Author: T. Asakura. Email: email

Sound & Vibration 2020, 54(2), 85-98. https://doi.org/10.32604/sv.2020.08119

Abstract

A number of studies have been conducted on the improvement of the sound quality of electrical artificial laryngeal speech, the speech produced has been difficult to hear compared to a natural voice. For this reason, it is necessary to effectively improve the frequency characteristics of the input signal. In the present study, to improve the sound quality of vocalization using an electrical artifi- cial larynx, first, a comparison of the frequency characteristics between the real and artificial voices was conducted, and three filters that can make the frequency characteristics of the artificial voice closer to those of a real voice were generated. Then, the influence of these filters on the quality of the artificial voice was investigated via physical measurement and a subjective evaluation experiment targeted at Japanese five vowels. It was found that the intelligibility of artificial /a/ and /o/ sounds was improved, whereas little improvement was observed in the case of /i/, /u/, and /e/. The obtained results confirmed the effect of optimizing the input signal into the vibration speaker and indicated areas for further improvement.

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Cite This Article

APA Style
Asakura, T., Shindo, K. (2020). Effect of input waveform to vibration speaker on sound quality of electric artificial voice. Sound & Vibration, 54(2), 85-98. https://doi.org/10.32604/sv.2020.08119
Vancouver Style
Asakura T, Shindo K. Effect of input waveform to vibration speaker on sound quality of electric artificial voice. Sound Vib . 2020;54(2):85-98 https://doi.org/10.32604/sv.2020.08119
IEEE Style
T. Asakura and K. Shindo, “Effect of Input Waveform to Vibration Speaker on Sound Quality of Electric Artificial Voice,” Sound Vib. , vol. 54, no. 2, pp. 85-98, 2020. https://doi.org/10.32604/sv.2020.08119



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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