Presentation 2005-03-25
Higher-order correlation analysis of pitch fluctuations in normal vowels by the method of surrogate data : Towards natural speech synthesis
Isao TOKUDA, Takaya MIYANO, Kazuyuki AIHARA,
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Abstract(in English) It has been known that fluctuations observed in fundamental frequencies (FF) of normal phonation of sustained vowels are indispensable for human speech to be perceived as a natural sound. In order to synthesize a speech that well preserves the original vocal quality, it is necessary to study statistical properties of the FF fluctuations. Although preservation of second order correlation function of the original FF fluctuations has been reported to be important, significance of higher order correlation functions is still unclear. We carries out a higher-order correlation analysis of the FF fluctuations based on the method of surrogate data and report significance of the higher order correlation for a natural synthesis of human speech.
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Keyword(in English) sustained vowels / fluctuation of fundamental frequencies / method of surrogate data / perception of natural sound / paired comparison test / nonlinear dynamics
Paper # NLP2004-121
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Committee NLP
Conference Date 2005/3/18(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Higher-order correlation analysis of pitch fluctuations in normal vowels by the method of surrogate data : Towards natural speech synthesis
Sub Title (in English)
Keyword(1) sustained vowels
Keyword(2) fluctuation of fundamental frequencies
Keyword(3) method of surrogate data
Keyword(4) perception of natural sound
Keyword(5) paired comparison test
Keyword(6) nonlinear dynamics
1st Author's Name Isao TOKUDA
1st Author's Affiliation Department of Computer Science and Systems Engineering, Muroran Institute of Technology()
2nd Author's Name Takaya MIYANO
2nd Author's Affiliation Department of Micro System Technology, Ritsumeikan University
3rd Author's Name Kazuyuki AIHARA
3rd Author's Affiliation Institute of Industrial Science, University of Tokyo:Aihara Complexity Modelling Project, ERATO, JST
Date 2005-03-25
Paper # NLP2004-121
Volume (vol) vol.104
Number (no) 753
Page pp.pp.-
#Pages 6
Date of Issue