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Analysis of Vocal Tract Shape Variability based on Formant Frequency Ratio at Various Conditions of Vowels for Indian English Speakers

机译:基于共振峰频率比的印度英语使用者在元音不同条件下的人声道形状变异性分析

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The paper presents the notability of variation of vocal tract shape and formant frequency with its adjacent ratios, for the Indian English speakers for the five vowels of the English language. we have estimated the vocal tract shape of the Indian English speakers. For the estimation we have incorporated Autoregressive Model and the same for the formant frequency. The speech samples are considered with three various utterances namely the consumption of Ice cold water, with time relaxation of five minutes compared with normal recordings of the vowels namely /a/, /e/, /I/, /o/ and /u/. These utterances are recorded for 20 individual iterations. the vocal tract shape estimation and formant frequency estimation are done on the Matlab platform. the vocal tract shape of first vowel /a/ comes to normal shape rapidly with time lapse of five minutes. the vocal tract shape of vowel /e/ shrinks after consumption of ice cold water and slowly attains the normal shape. The vowel /I/ and /or/ vocal tract shape changes linearly for all the conditions considered, whereas the vocal tract shape of /u/ compresses for ice cold water and retains to be same even after a time lapse of five minutes. All the above variations are done by considering the vocal tract length of 17cm and it is modelled according to lossless uniform tube model. these outcomes are used for observation of vocal tract infection among the speech disorder patients, it can be adopted for the user authentication system by considering it as a vocal tract signature.
机译:本文针对印度英语的五个元音,向印度英语使用者展示了声道形状和共振峰频率及其相邻比率变化的显着性。我们估计了印度英语使用者的声道形状。为了进行估计,我们结合了自回归模型,对共振峰频率也是如此。语音样本被认为具有三种不同的发音,即消耗冰冷的水,与元音的正常记录(即/ a /,/ e /,/ I /,/ o /和/ u /)相比,放宽了五分钟的时间。这些话语记录了20次独立迭代。在Matlab平台上进行声道形状估计和共振峰频率估计。第一元音/ a /的声道形状随着时间的流逝经过五分钟迅速恢复为正常形状。饮用冰冷的水后,元音/ e /的声道形状会缩小,并逐渐恢复正常形状。在所有考虑的条件下,元音/ I /和/或/声道形状均呈线性变化,而/ u /的声道形状对于冰冷的水会压缩,即使经过5分钟后仍保持不变。上述所有变化都是通过考虑17cm的声道长度来完成的,并根据无损均匀管模型进行建模。这些结果用于观察言语障碍患者中的​​声道感染,可以通过将其视为声道签名来用于用户身份验证系统。

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