Automatic Prosodic Break Detection and Feature Analysis

	Automatic Prosodic Break Detection and Feature Analysis
	Ni, Chong-Jia; Zhang, Ai-Ying; Liu, Wen-Ju; Xu, Bo
发表期刊	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
	2012-11-01
卷号	27 期号:6;6 页码:1184-1196
文章类型	Article
摘要	Automatic prosodic break detection and annotation are important for both speech understanding and natural speech synthesis. In this paper, we discuss automatic prosodic break detection and feature analysis. The contributions of the paper are two aspects. One is that we use classifier combination method to detect Mandarin and English prosodic break using acoustic, lexical and syntactic evidence. Our proposed method achieves better performance on both the Mandarin prosodic annotation corpus Annotated Speech Corpus of Chinese Discourse and the English prosodic annotation corpus Boston University Radio News Corpus when compared with the baseline system and other researches' experimental results. The other is the feature analysis for prosodic break detection. The functions of different features, such as duration, pitch, energy, and intensity, are analyzed and compared in Mandarin and English prosodic break detection. Based on the feature analysis, we also verify some linguistic conclusions.
关键词	Prosodic Break Intonational Phrase Boundary Classifier Combination Boosting Classification And Regression Tree Conditional Random Field
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000311264700010
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40906
专题	复杂系统认知与决策实验室_听觉模型与认知计算
推荐引用方式 GB/T 7714	Ni, Chong-Jia,Zhang, Ai-Ying,Liu, Wen-Ju,et al. Automatic Prosodic Break Detection and Feature Analysis[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2012,27(6;6):1184-1196.
APA	Ni, Chong-Jia,Zhang, Ai-Ying,Liu, Wen-Ju,&Xu, Bo.(2012).Automatic Prosodic Break Detection and Feature Analysis.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,27(6;6),1184-1196.
MLA	Ni, Chong-Jia,et al."Automatic Prosodic Break Detection and Feature Analysis".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 27.6;6(2012):1184-1196.