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Modeling of stressed syllables for their detection in English sentences to develop an English rhythm learning system

机译:英语句子检测中的强调音节建模开发英语节奏学习系统

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摘要

Current globalization requires Japanese people to speak English with correct pronunciation. To acquire this ability efficiently, they need to master generating English rhythm with positioning appropriate stressed syllables. With the aim of the developing an English rhythm learning system for Japanese learners, in this paper we proposed methods to model stressed/unstressed syllables in English sentences, where relative differences in prosodic features between two adjacent syllables and vowel-based modeling in addition to a syllable-based one were investigated. In experiments, with the previously proposed modeling method, about 91% accuracy was obtained as base-line in the speaker-closed/text-open condition. When using other speakers, approximately 80% and 70% accuracy was obtained respectively with native speakers and Japanese ones. The proposed methods showed that, in the speaker-open/text-open condition, 5% relative improvement was obtained by using the relative differences between two consecutive syllables and 8% improvement was observed for Japanese speakers by using the vowel-based modeling.
机译:目前全球化要求日本人用正确的发音说英语。要有效地获得此功能,他们需要掌握使用适当的强调音节的英语节奏。在这篇论文中,旨在为日本学习者开发英语节奏学习系统,我们提出了对英语句子中的强调/无重音音节模型的方法,其中两个相邻音节和基于元音的模型之间的韵律特征的相对差异研究了基于音节的一个。在实验中,利用先前提出的建模方法,在扬声器关闭/文本打开条件下获得约91%的精度作为底线。使用其他扬声器时,分别与母语扬声器和日本人获得约80%和70%的准确性。所提出的方法表明,在扬声器开放/文本打开条件下,通过使用两个连续音节之间的相对差异来获得5%的相对改善,并通过使用基于元音的建模来观察日本扬声器的8%改善。

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