Implementation and evaluation of an HMM-based Korean speech synthesis system

被引：18
|
作者：
Kim, SJ
Kim, JJ
Hahn, M
机构：
[1] Informat & Commun Univ, Multimedia Grp, Taejon 305732, South Korea
[2] ETRI, Spoken Language Proc Team, Taejon 305350, South Korea
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2006年 / E89D卷 / 03期
关键词：
HMM-based speech synthesis; speech synthesis; HMM; context clustering; Korean;
D O I：
10.1093/ietisy/e89-d.3.1116
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Development of a hidden Markov model (HMM)-based Korean speech synthesis system and its evaluation is described. Statistical HMM models for Korean speech units are trained with the hand-labeled speech database including the contextual information about phoneme, morpheme, word phrase, utterance, and break strength. The developed system produced speech with a fairly good prosody. The synthesized speech is evaluated and compared with that of our corpus-based unit concatenating Korean text-to-speech system. The two systems were trained with the same manually labeled speech database.
引用
收藏
页码：1116 / 1119
页数：4
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