Studies on Dynamic Feature Modeling and Fundamental Frequency Extraction in HMM-based Speech Synthesis

Please use this identifier to cite or link to this item: http://tailieuso.udn.vn/handle/TTHL_125/8515

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DC Field	Value	Language
dc.contributor.advisor	Yamashita, Yoichi, Prof.	-
dc.contributor.author	Ninh, Khanh Duy	-
dc.date.accessioned	2018-06-14T07:32:32Z	-
dc.date.available	2018-06-14T07:32:32Z	-
dc.date.issued	2016-03	-
dc.date.submitted	2016-02-26	-
dc.identifier.uri	http://tailieuso.udn.vn/handle/TTHL_125/8515	-
dc.description	Doctoral thesis. Major: Information Science; 81 pages	en
dc.description.tableofcontents	Chapter 1 Introduction; Chapter 2 HMM-Based text-To-Speech synthesis; Chapter 3 Minimum generation error training considering dynamic features; ...	en
dc.language.iso	en	en
dc.publisher	Ritsumeikan University, Japan	en
dc.source	University of Science and Technology - The University of Danang	en
dc.subject	Dynamic feature	en
dc.subject	Fundamental frequency	en
dc.subject	Text-to-speech synthesis	en
dc.subject	HMM-Based speech synthesis	en
dc.subject	Hidden Markov Model	en
dc.subject	Speech synthesis	en
dc.title	Studies on Dynamic Feature Modeling and Fundamental Frequency Extraction in HMM-based Speech Synthesis	en
dc.title.alternative	基づいた音声合成における動的特徴のモデル化および基本周波数の抽出に関する研究	en
dc.title.alternative	Các nghiên cứu về mô hình hóa đặc trưng động và trích chọn tần số cơ bản trong tổng hợp tiếng nói dựa trên HMM	en
dc.type	Ph.D Thesis	en
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NinhKhanhDuy.TT.pdf	Abstracts & Table of Contents	223.54 kB	Adobe PDF	View/Open
NinhKhanhDuy.TV.pdf	Fulltext	2.48 MB	Adobe PDF	View/Open Request a copy