Please use this identifier to cite or link to this item:
Title: Studies on Dynamic Feature Modeling and Fundamental Frequency Extraction in HMM-based Speech Synthesis
Other Titles: 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
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
Authors: Ninh, Khanh Duy
Advisor: Yamashita, Yoichi, Prof.
Keywords: Dynamic feature
Fundamental frequency
Text-to-speech synthesis
HMM-Based speech synthesis
Hidden Markov Model
Speech synthesis
Issue Date: 2016-03
Publisher: Ritsumeikan University, Japan
Description: Doctoral thesis. Major: Information Science; 81 pages
Table of contents: Chapter 1 Introduction; Chapter 2 HMM-Based text-To-Speech synthesis; Chapter 3 Minimum generation error training considering dynamic features; ...
Appears in Collections:Kỹ thuật

Files in This Item:
File Description SizeFormat 
NinhKhanhDuy.TT.pdfAbstracts & Table of Contents223.54 kBAdobe PDFView/Open
NinhKhanhDuy.TV.pdfFulltext2.48 MBAdobe PDFView/Open    Request a copy

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.