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Paper Abstract and Keywords
Presentation 2019-06-13 13:30
A study on style transplantation modeling techniques for DNN-based speech synthesis
Yoshiki Hiruta (Tokyo Tech), Tomoki Koriyama (The Univ. of Tokyo), Yuuki Tachioka (Denso IT Lab), Takao Kobayashi (Tokyo Tech)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper investigates style transplantation modeling techniques for DNN-based statistical parametric speech synthesis. The problem treated here is to generate expressive speech of a given target speaker with only using a small amount of his/her reading style speech data. For this purpose, we propose two models, which utilize i-vector as an input to DNN. The basic idea of the proposed modeling framework is to construct an acoustic model which can control voice characteristics and emotional expression and/or speaking style using multi speaker’s expressive speech data. In the proposed framework, the i-vector is used to control voice characteristics of the synthetic speech. Through objective and subjective evaluation experiments we compare the performance of the proposed style trans- plantation modeling techniques with the conventional ones in which a speaker code represented by one-hot vector is used as an input to DNN.
Keyword (in Japanese) (See Japanese page) 
(in English) DNN-based speech synthesis / style transplant / i-vector / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 80, SP2019-1, pp. 1-6, June 2019.
Paper # SP2019-1 
Date of Issue 2019-06-06 (SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SP  
Conference Date 2019-06-13 - 2019-06-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2019-06-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on style transplantation modeling techniques for DNN-based speech synthesis 
Sub Title (in English)  
Keyword(1) DNN-based speech synthesis  
Keyword(2) style transplant  
Keyword(3) i-vector  
1st Author's Name Yoshiki Hiruta  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Tomoki Koriyama  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Yuuki Tachioka  
3rd Author's Affiliation Denso IT Laboratory (Denso IT Lab)
4th Author's Name Takao Kobayashi  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Date Time 2019-06-13 13:30:00 
Presentation Time 25 
Registration for SP 
Paper # IEICE-SP2019-1 
Volume (vol) IEICE-119 
Number (no) no.80 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-SP-2019-06-06 

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