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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/81960

    Title: 漢語之端到端語音合成研究;Mandarin End-To-End Text-To-Speech Research
    Authors: 王紹全;WANG, SHAO-CHUAN
    Contributors: 資訊工程學系在職專班
    Keywords: 端到端;語音合成;深度學習;End-To-End;speech synthesis;deep learning
    Date: 2019-09-25
    Issue Date: 2020-01-07 15:10:34 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 語音合成即指將文本合成語音的技術,在過去一個語音合成系統
    型, 輸入文字即可生成目標語音。

    成, 本論文利用漢語拼音方案的字母音標取代中文注音,以此取代
    以此概念將端到端語音合成推廣到其他非英文語系的使用。;Speech synthesis refers to the technique of synthesizing text into speech,In the past a speech synthesis system usually has multiple stages of processing, and it
    also related to phonetics, acoustics or other related domain knowledge, which creates high technical threshold. Due to the advancement of hardware technology in recent
    years, the deep learning methods based on neural network architecture have been widely used by researchers recently. This paper also applies deep learning technology to text-to-speech. (TTS) system , by using End-To-End speech synthesis architecture, training a single neural network model through audio training data, and abandoning the traditional architecture of generating speech from multiple models such as time models and acoustic features, use only an end-to-end model to enter the text to generate the target speech .

    Current End-To-End speech synthesis research is mainly in English, however, as long as we find the correspondence between text and speech, we can also apply it to other non-English language synthesis. This thesis replaces Chinese phonetic transcription with the phonetic symbols from Scheme of the Chinese Phonetic Alphabet, which replaces Chinese characters as training materials to achieve Chinese speech synthesis. And I hope that this concept can be used to implement other non-English languages end-to-end speech synthesis too.
    Appears in Collections:[資訊工程學系碩士在職專班 ] 博碩士論文

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