Presentation 2017-03-01
[Poster Presentation] Prosodic Word Embeddings for DNN-based speech synthesis
Yusuke Ijima, Nobukatsu Hojo, Ryo Masumura, Taichi Asami,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposed a novel word embeddings with prosodic information (prosodic word embeddings) for DNN-based speech synthesis. There have been several attempts to use word embeddings for DNN-based speech synthesis. However, their word vectors do not necessarily correspond to prosodic similarity because the training data is a large text corpus. To achieve word embeddings which can take prosodic information into account, we utilize a large speech corpus such as speech corpus for automatic speech recognition. By using the corpus, the proposed technique trains the relationship between words and their prosodic information. We perform objective evaluations to compare the performance of the proposed technique with that of the conventional word embeddings. Objective evaluation results indicate that our proposed word embedding technique can generate F0 more accurately compared to the conventional technique.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Statistical parametric speech synthesis / DNN-based speech synthesis / word embeddings
Paper # EA2016-109,SIP2016-164,SP2016-104
Date of Issue 2017-02-22 (EA, SIP, SP)

Conference Information
Committee SP / SIP / EA
Conference Date 2017/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Industry Support Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics
Chair Kazunori Mano(Shibaura Inst. of Tech.) / Makoto Nakashizuka(Chiba Inst. of Tech.) / Mitsunori Mizumachi(Kyushu Inst. of Tech.)
Vice Chair Hiroki Mori(Utsunomiya Univ.) / Masahiro Okuda(Univ. of Kitakyushu) / Shogo Muramatsu(Niigata Univ.) / Yoichi Haneda(Univ. of Electro-Comm.) / Suehiro Shimauchi(NTT)
Secretary Hiroki Mori(Kobe Univ.) / Masahiro Okuda(Shizuoka Univ.) / Shogo Muramatsu(Ritsumeikan Univ.) / Yoichi Haneda(Chiba Inst. of Tech.) / Suehiro Shimauchi(KDDI R&D Labs.)
Assistant Taichi Asami(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Osamu Watanabe(Takushoku Univ.) / Shigeto Takeoka(Shizuoka Inst. of Science and Tech.) / TREVINO Jorge(Tohoku Univ.)

Paper Information
Registration To Technical Committee on Speech / Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Prosodic Word Embeddings for DNN-based speech synthesis
Sub Title (in English)
Keyword(1) Statistical parametric speech synthesis
Keyword(2) DNN-based speech synthesis
Keyword(3) word embeddings
1st Author's Name Yusuke Ijima
1st Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
2nd Author's Name Nobukatsu Hojo
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
3rd Author's Name Ryo Masumura
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
4th Author's Name Taichi Asami
4th Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
Date 2017-03-01
Paper # EA2016-109,SIP2016-164,SP2016-104
Volume (vol) vol.116
Number (no) EA-475,SIP-476,SP-477
Page pp.pp.153-158(EA), pp.153-158(SIP), pp.153-158(SP),
#Pages 6
Date of Issue 2017-02-22 (EA, SIP, SP)