Presentation 2016-07-28
On the Use of Speaker Codes for Multi-Speaker Modeling in DNN-based Speech Synthesis
Nobukatsu Hojo, Yusuke Ijima, Hideyuki Mizuno,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recent studies have shown that DNN-based speech synthesis can generate more natural synthesized speech than the conventional HMM-based speech synthesis.However, it is not revealed whether the synthesized speech quality can be improved by utilizing a multi-speaker speech corpus.To investigate this problem, this paper proposes DNN-based speech synthesis using speaker codes as a simple method to improve the performance of the conventional speaker dependent DNN-based method. In order to model speaker variation in the DNN, speaker codes are fed to the hidden layer(s) of the DNN. The proposed method trains connection weights of the whole DNN utilizing a multi-speaker speech corpus. To synthesize a speech parameter sequence, a target speaker is chosen from the corpus and the speaker code corresponding to the selected target speaker is fed to the DNN to generate the speaker's voice. We investigated the relationship between the prediction performance and architecture of the DNNs by changing the hidden layer used for speaker codes. Experimental results showed that the proposed model outperformed the conventional speaker-dependent DNN when the model architecture was set at optimal depending on the amount of training data of the selected target speaker.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) speech synthesis / acoustic model / deep neural network / speaker codes
Paper # SP2016-22
Date of Issue 2016-07-21 (SP)

Conference Information
Committee SP / IPSJ-SLP
Conference Date 2016/7/28(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Takinoyu Hotel
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech recognition and understanding, dialog system, etc.
Chair Kazunori Mano(Shibaura Inst. of Tech.) / Nobuaki Minematsu(Univ. of Tokyo)
Vice Chair Hiroki Mori(Utsunomiya Univ.)
Secretary Hiroki Mori(Kobe Univ.) / (Shizuoka Univ.)
Assistant Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.)

Paper Information
Registration To Technical Committee on Speech / Special Interest Group on Spoken Language Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the Use of Speaker Codes for Multi-Speaker Modeling in DNN-based Speech Synthesis
Sub Title (in English)
Keyword(1) speech synthesis
Keyword(2) acoustic model
Keyword(3) deep neural network
Keyword(4) speaker codes
1st Author's Name Nobukatsu Hojo
1st Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
2nd Author's Name Yusuke Ijima
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
3rd Author's Name Hideyuki Mizuno
3rd Author's Affiliation Tokyo University of Science, Suwa(Tokyo University of Science, Suwa)
Date 2016-07-28
Paper # SP2016-22
Volume (vol) vol.116
Number (no) SP-165
Page pp.pp.13-18(SP),
#Pages 6
Date of Issue 2016-07-21 (SP)