中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning prosodic patterns for mandarin speech synthesis

文献类型:期刊论文

作者Chen, YQ; Gao, W; Zhu, TS; Ling, C
刊名JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
出版日期2002-07-01
卷号19期号:1页码:95-109
关键词TTS clustering Rough Set ANN Decision tree Beyesian network
ISSN号0925-9902
英文摘要Higher quality synthesized speech is required for widespread use of text-to-speech (TTS) technology, and the prosodic pattern is the key feature that makes synthetic speech sound unnatural and monotonous, which mainly describes the variation of pitch. The rules used in most Chinese TTS systems are constructed by experts, with weak quality control and low precision. In this paper, we propose a combination of clustering and machine learning techniques to extract prosodic patterns from actual large mandarin speech databases to improve the naturalness and intelligibility of synthesized speech. Typical prosody models are found by clustering analysis. Some machine learning techniques, including Rough Set, Artificial Neural Network (ANN) and Decision tree, are trained for fundamental frequency and energy contours, which can be directly used in a pitch-synchronous-overlap-add-based (PSOLA-based) TTS system. The experimental results showed that synthesized prosodic features greatly resembled their original counterparts for most syllables.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000175714800007
出版者KLUWER ACADEMIC PUBL
源URL[http://119.78.100.204/handle/2XEOYT63/13501]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, YQ
作者单位1.Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2E1, Canada
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
3.Univ W Ontario, Dept Comp Sci, London, ON N6A 5B7, Canada
推荐引用方式
GB/T 7714
Chen, YQ,Gao, W,Zhu, TS,et al. Learning prosodic patterns for mandarin speech synthesis[J]. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS,2002,19(1):95-109.
APA Chen, YQ,Gao, W,Zhu, TS,&Ling, C.(2002).Learning prosodic patterns for mandarin speech synthesis.JOURNAL OF INTELLIGENT INFORMATION SYSTEMS,19(1),95-109.
MLA Chen, YQ,et al."Learning prosodic patterns for mandarin speech synthesis".JOURNAL OF INTELLIGENT INFORMATION SYSTEMS 19.1(2002):95-109.

入库方式: OAI收割

来源:计算技术研究所

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