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Analysis of breathy voice based on excitation characteristics of speech production

机译:基于语音生产励磁特性的呼吸声分析

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The objective of this paper is to find the fundamental difference between breathy and modal voices based on differences in speech production as reflected in the signal. We propose signal processing methods for analyzing the phonation in breathy voice. These methods include technique of zero-frequency filtering, loudness measurement, computation of periodic to aperiodic energy ratio and extraction of formants and their amplitudes using group-delay based technique. Parameters derived using these methods capture the excitation source characteristics which play a prominent role in deciding the voice quality. Classification of vowels into breathy or modal voice is achieved with an accuracy of 93.93% using the loudness measure.
机译:本文的目的是在信号中基于信号中的差异,找到气息和模态声音之间的基本差异。我们提出了信号处理方法,用于分析气喘吁吁的声音。这些方法包括使用基于组延迟技术的零频滤波,响度测量,周期性的计算,对非周期性能量比的计算及其幅度的提取。使用这些方法导出的参数捕获激励源特征,在决定语音质量方面发挥着突出的作用。使用响度测量的精度为93.93%的精度来实现元音的分类。

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