A study on Mongolian text-to-speech system based on deep neural network

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Summary, etc.：: There are about 7,000 languages spoken today in the world. However, most natural language processing and speech processing studies have been conducted...

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Material Type: 博士論文
Title: A study on Mongolian text-to-speech system based on deep neural network
Author/Editor: ビヤンバドルジ, ゾルザヤ
Author Heading: ビヤンバドルジ, ゾルザヤビヤンバドルジ, ゾルザヤ
Publication Date: 2022-03-23
Publication Date (W3CDTF): 2022-03-23
Alternative Title: ディープニューラルネットワークに基づくモンゴル語のテキスト音声合成システムに関する研究
Dissertation Number: 甲先第431号
Text Language Code: und
Subject Heading: Text normalization
text to speech
low resource language
noisy text
transliterated text
language model
seq2seq model
character conversion
speech synthesis
transfer learning
data augmentation
Target Audience: 一般
Format (IMT): application/pdf
Source: fulltext
https://tokushima-u.repo.nii.ac.jp/record/2009963/files/k3634_fulltext.pdf
Access Restrictions: インターネット公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 徳島大学 : 徳島大学機関リポジトリ