Joint analysis of f0 and speech rate with Functional Data Analysis
Joint analysis of f0 and speech rate with Functional Data Analysis
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通过功能数据分析对 f0 和语速进行联合分析
DOI：
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发表时间：
2011
期刊：
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通讯作者：
F. Cangemi
中科院分区：
文献类型：
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作者：
M. Gubian;L. Boves;F. Cangemi
在这项工作中，我们提出了使用功能数据分析（FDA）作为一个强大的方法来解决问题，多个连续的语音参数进行联合分析。那不勒斯意大利语对比焦点放置的生产研究被用作例证。两个功能进行了分析，即，0和相对语音速率，都表示为时间的连续函数。结果表明，已知的事实的韵律那不勒斯意大利出现的数据，但也出现了其他有趣的本地或跨功能之间的轮廓特征的关系。因此，FDA的结果可以作为指导，在语音特征轮廓形状的探索，一个操作，用于进行手动在以前的语音研究。联合分析多个连续特征的能力不仅为语音分析而且为语音再合成提供了有价值的改进。
In this work we propose the use of Functional Data Analysis (FDA) as a powerful methodology to tackle problems where multiple continuous speech parameters have to be analyzed jointly. A production study on contrastive focus placement in Neapolitan Italian is used as illustration. Two features are analyzed, viz. ƒ0 and relative speech rate, both expressed as continuous functions of time. The results show that known facts about the prosody of Neapolitan Italian emerge from the data, but also other interesting local or cross-feature relationships between contour traits appear. Thus, FDA results can be used as guidance in the exploration of speech feature contour shapes, an operation that used to be carried out manually in previous speech research. The capability of jointly analyzing multiple continuous features provides a valuable improvement not only for speech analysis but also for speech re-synthesis.