Presentation 2007/7/19
Comparison of Small Sound Source Signals in the Speech Communication-Aid System for Laryngectomees
Keigo NAKAMURA, Tomoki TODA, Hiroshi SARUWATARI, Kiyohiro SHIKANO,
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Abstract(in English) A system which outputs a more natural voice converted from extremely small articulated signals had been proposed as a speaking-aid system for laryngectomees, whose vocal folds were removed due to laryngeal cancer and so on. Small sound sources may be problematic since articulated speech may not be heard even by the speaker. Therefore, in this paper, changes of articulation are examined for the cases that the speaker is or is not given detected signals with a microphone as his auditory feedback with some background noise. From a preliminary subjective evaluation, it is quantitatively demonstrated that a user speaks with more stable articulation if detected speech with a microphone is presented. Moreover, influence of using different sound sources on voice conversion has not been revealed. Consequently, several small sound sources are designed to investigate the influences on statistical voice conversion accuracy. Sound sources are designed by changing spectral envelope and average power independently. Objective and Subjective evaluations are conducted to demonstrate that differences in sound sources less affect the voice conversion accuracy unless the power of the input speech is almost equal to that of the backgrond noises.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Laryngectomees / Sound Source Signals / Auditory Feedback / Electrolarynx / Statistical Voice Conversion
Paper # SP2007-39
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Committee SP
Conference Date 2007/7/19(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparison of Small Sound Source Signals in the Speech Communication-Aid System for Laryngectomees
Sub Title (in English)
Keyword(1) Laryngectomees
Keyword(2) Sound Source Signals
Keyword(3) Auditory Feedback
Keyword(4) Electrolarynx
Keyword(5) Statistical Voice Conversion
1st Author's Name Keigo NAKAMURA
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Tomoki TODA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Hiroshi SARUWATARI
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Kiyohiro SHIKANO
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2007/7/19
Paper # SP2007-39
Volume (vol) vol.107
Number (no) 165
Page pp.pp.-
#Pages 6
Date of Issue