Classification by discriminant analysis of the energy in view of the detection of accentuated syllable in standard Arabic

A. Chentir, M. Guerti, D. Hirst
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Abstract

In this work, we exploited the acoustic parameter energy to a classification by a discriminant analysis to detect the primary accent syllables of type [CV] where [C] is a consonant and [V] a vowel, in Standard Arabic words. Generally, the three acoustic parameters used in prosody are: the fundamental, the duration and the energy, as well as the localization of the prominent syllable in final or initial position have an influence on the perception of the lexical accent in Arabic. A percentage of detection equal to 78% of the accentuated syllable shows the efficiency of such an approach that will be able to come to reinforce the methods based on the criteria of the fundamental, in the goal to improve the existing systems of synthesis and recognition in Standard Arabic.
根据标准阿拉伯语中重音音节的检测,用能量判别分析进行分类
在这项工作中,我们利用声学参数能量通过判别分析进行分类,以检测标准阿拉伯语单词中[CV]类型的主重音音节,其中[C]是辅音,[V]是元音。一般来说,阿拉伯语韵律中使用的三个声学参数是:基本音、持续音和能量音,以及突出音节在词尾或起始位置的位置对词汇重音的感知有影响。重音音节的检测率达到78%,表明了这种方法的有效性,它将能够加强基于基本标准的方法,以改进标准阿拉伯语中现有的合成和识别系统。
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