Perceptually-Related F0 Parameters for Automatic Classification of Phrase Final Tones

Perceptually-Related F0 Parameters for Automatic Classification of Phrase Final Tones
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用于乐句最终音调自动分类的感知相关 F0 参数

DOI:
10.1093/ietisy/e88-d.3.481
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发表时间:
2005
期刊:
IEICE Trans. Inf. Syst.
影响因子:
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通讯作者:
C. Ishi
C. Ishi
中科院分区:
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文献类型:
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作者:
C. Ishi

文献摘要

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韵律特征的自动标注是构建大型语音数据库进行语音合成或分析时的一个重要课题。提出了一种基于感知相关的F0参数,用于自动分类短语尾音。分析进行,以验证如何一致的科目能够归类短语的最后一个音调,以及如何感知功能与类别。三种类型的声学参数的建议和分析表示的感知特征相关的音调类别:一个相关的音高移动内的短语最后,一个相关的音高重置之前的短语最后,和一个相关的短语最后的长度。一个分类树的构建来评估自动分类的短语最后的音调,导致在79.2%的准确率为一致的分类样本,使用建议的声学参数之间的最佳组合。
Automatic labeling of prosodic features is an important topic when constructing large speech databases for speech synthesis or analysis purposes. Perceptually-related F0 parameters are proposed with the aim of automatically classifying phrase final tones. Analyses are conducted to verify how consistently subjects are able to categorize phrase final tones, and how perceptual features are related with the categories. Three types of acoustic parameters are proposed and analyzed for representing the perceptual features related to the tone categories: one related to pitch movement within the phrase final, one related to pitch reset prior to the phrase final, and one related to the length of the phrase final. A classification tree is constructed to evaluate automatic classification of phrase final tones, resulting in 79.2% accuracy for the consistently categorized samples, using the best combination among the proposed acoustic parameters.