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Detection of vowel transition regions from Hindi language

机译：从印地语语言检测元音过渡区域

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The vowel transition regions are the crucial landmarks in the speech signal. These vital regions are present at both ends of the vowel. They lie in the junction between a consonant and a vowel (CV) regions. This region plays an important role in numerous speech applications like speaker recognition, emotion conversion, speech rate modification, and CV unit recognition. The performance of these applications crucially depends on the accuracy of the estimation of vowel transition regions. In this paper, we have proposed a method for determining the transition regions based on the rate of change of formant frequencies using zero-time windowing and numerator of the group-delay function. Zero-time windowing derives the instantaneous formant frequencies accurately at every sample location due to the contribution of that sample itself. The numerator of the group-delay function enhances the formant frequencies. The proposed transition region detection method is evaluated on CV, and continuous speech databases recorded in the Hindi language. The proposed method has shown around 12％ improvement in accuracy compared to the existing method.
机译：元音过渡区域是语音信号中的重要地标。这些重要地区存在于元音的两端。它们位于辅音和元音（CV）区域之间的交界处。该地区在扬声器识别，情感转换，语音率修改和CV单元识别等众多语音应用中起着重要作用。这些应用的性能至关重要地取决于元音过渡区域的估计的准确性。在本文中，我们提出了一种基于使用零时间窗口和组延迟函数的零点窗口窗口和分子的格式频率的变化率来确定过渡区域的方法。由于该样本本身的贡献，零时间窗口在每个样本位置准确地导出瞬时的格式频率。组延迟函数的分子增强了格式频率。所提出的过渡区域检测方法在CV上进行评估，以及在印地语语言中记录的连续语音数据库。与现有方法相比，该方法的准确性提高约12％。

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