Constructing text-to-speech systems for languages with unknown pronunciations
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- Sawada Kei
- Department of Scientific and Engineering Simulation, Nagoya Institute of Technology
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- Hashimoto Kei
- Department of Scientific and Engineering Simulation, Nagoya Institute of Technology
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- Oura Keiichiro
- Department of Scientific and Engineering Simulation, Nagoya Institute of Technology
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- Nankaku Yoshihiko
- Department of Scientific and Engineering Simulation, Nagoya Institute of Technology
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- Tokuda Keiichi
- Department of Scientific and Engineering Simulation, Nagoya Institute of Technology
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This paper proposes a method for constructing text-to-speech (TTS) systems for languages with unknown pronunciations. One goal of speech synthesis research is to establish a framework that can be used to construct TTS systems for any written language. Generally, language-specific knowledge is required to construct TTS systems for a new language. However, it is difficult to acquire language-specific knowledge in each new language. Therefore, constructing a TTS system for a new language entails huge costs. To address this problem, we investigate a framework for automatically constructing a TTS system from a target language database consisting of only speech data and corresponding Unicode texts. In the proposed method, pseudo phonetic information of the target language with unknown pronunciation is obtained by a speech recognizer of a rich-resource proxy language. Then, a grapheme-to-phoneme converter and a statistical parametric speech synthesizer are constructed based on the obtained pseudo phonetic information. The proposed method was applied to Japanese and was evaluated in terms of objective and subjective measures. Additionally, we challenged the construction of TTS systems for nine Indian languages using the proposed method, and TTS systems were evaluated in the Blizzard Challenge 2014 and 2015.
収録刊行物
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- Acoustical Science and Technology
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Acoustical Science and Technology 39 (2), 119-129, 2018
一般社団法人 日本音響学会
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詳細情報 詳細情報について
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- CRID
- 1390001205088986240
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- NII論文ID
- 130006407740
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- NII書誌ID
- AA11501808
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- ISSN
- 13475177
- 03694232
- 13463969
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- NDL書誌ID
- 028863144
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可