Presentation 2017-01-21
A Study on the Construction of Articulatory to Acoustic Mapping by Using Deep Neural Network
Fumiaki Taguchi, Tokihiko Kaburagi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a method for estimating time series of the acoustic property of the vocal tract expressed by line spectral frequencies from the movement trajectory of the articulatory organs observed with a magnetic sensor (EMA). Statistical methods have been used thus far for the articulatory-to-acoustic mapping because of the difficulty in modeling the relationship between both parameters physically. In this study, articulatory-to-acoustic mapping was constructed by using deep neural network, more specifically a multilayer perceptron, for which effectiveness has been confirmed in various problems. Experimental results showed that the cepstrum error in our estimation method was 3.39 dB when mngu0 dataset was used.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) articulatory movement / vocal tract spectrum / DNN / articulatory-to-acoustic mapping
Paper # SP2016-73
Date of Issue 2017-01-14 (SP)

Conference Information
Committee SP
Conference Date 2017/1/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English) The University of Tokyo
Topics (in Japanese) (See Japanese page)
Topics (in English) Synthesis, Generation, Prosody, etc.
Chair Kazunori Mano(Shibaura Inst. of Tech.)
Vice Chair Hiroki Mori(Utsunomiya Univ.)
Secretary Hiroki Mori(Kobe Univ.)
Assistant Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.)

Paper Information
Registration To Technical Committee on Speech
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on the Construction of Articulatory to Acoustic Mapping by Using Deep Neural Network
Sub Title (in English)
Keyword(1) articulatory movement
Keyword(2) vocal tract spectrum
Keyword(3) DNN
Keyword(4) articulatory-to-acoustic mapping
1st Author's Name Fumiaki Taguchi
1st Author's Affiliation Kyushu University(Kyushu Univ.)
2nd Author's Name Tokihiko Kaburagi
2nd Author's Affiliation Kyushu University(Kyushu Univ.)
Date 2017-01-21
Paper # SP2016-73
Volume (vol) vol.116
Number (no) SP-414
Page pp.pp.53-57(SP),
#Pages 5
Date of Issue 2017-01-14 (SP)