Presentation 2004/10/21
Articulatory-to-Acoustic Mapping Using Phoneme-Dependent Neural Networks : An Investigation on the Parameter Learning Method
Kohei WAKAMIYA, Takuya TSUJI, Tokihiko KABURAGI,
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Abstract(in English) This paper presents a method for estimating the acoustic property of the vocal tract from the position of the articulatory organs, i.e., the jaw, lips, tongue, and soft palate. Our method transforms input articulatory position to the vocal tract spectrum on the basis of phoneme-dependent neural networks. The obtained phoneme-dependent spectra are then interpolated to estimate the tune course of the vocal tract spectrum for the given phonemic context. In addition, the weight in this spectral interpolation is determined on the basis of the distance in the articulatory domain between the input and phoneme-specific articulator positions. For training of these networks, the articulatory-acoustic data pairs taken for continuous utterances are used by taking the spectral interpolation into account. Experimental results showed that the average spectral error in our estimation method is 3.15 dB.
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Keyword(in English) articulatory movement / neural network / vocal-tract spectrum / articulatory-to-acoustic mapping
Paper # SP2004-65,WIT2004-46
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Committee WIT
Conference Date 2004/10/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Articulatory-to-Acoustic Mapping Using Phoneme-Dependent Neural Networks : An Investigation on the Parameter Learning Method
Sub Title (in English)
Keyword(1) articulatory movement
Keyword(2) neural network
Keyword(3) vocal-tract spectrum
Keyword(4) articulatory-to-acoustic mapping
1st Author's Name Kohei WAKAMIYA
1st Author's Affiliation Faculty of Design, Kyushu University()
2nd Author's Name Takuya TSUJI
2nd Author's Affiliation Pioneer
3rd Author's Name Tokihiko KABURAGI
3rd Author's Affiliation Faculty of Design, Kyushu University
Date 2004/10/21
Paper # SP2004-65,WIT2004-46
Volume (vol) vol.104
Number (no) 388
Page pp.pp.-
#Pages 6
Date of Issue