Analysis of glottal stops using pitch synchronous integrated linear prediction residual

Sishir Kalita, S. R. Mahadeva Prasanna, S. Dandapat
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引用次数: 2

Abstract

This work analyzes excitation source to characterize glottal stops using integrated linear prediction (ILP) residual, derived by pitch-synchronous (PS) approach. The glottal stop consonant is produced due to laryngeal gesture in the form of constricted glottis. This pressed glottal configuration, leads to period to period irregularities, aperiodicity, and asymmetry. Normalized crosscorrelation coefficient (NCC) between two successive glottal cycles is computed to capture the dissimilarity between adjacent glottal cycles. Also to characterize the variation in the abruptness of glottal pulses, ratio between strength of excitation (SoE) at two consecutive epoch locations and temporal energy distribution using waveform peak factor (WPF) are computed. To capture the asymmetric behavior of each glottal cycle, higher order statistics (HOS) measures are evaluated. These features show discrimination between glottal stop and other adjacent sounds and can therefore be used for spotting glottal stops in continuous speech.
基于基音同步积分线性预测残差的声门阻分析
本文利用音高同步(PS)方法导出的集成线性预测(ILP)残差分析激发源以表征声门停止。声门闭关辅音是由于喉部的手势以声门收缩的形式产生的。这种压迫的声门结构,导致周期到周期的不规则,非周期性和不对称。计算两个连续声门周期之间的归一化互相关系数(NCC),以捕获相邻声门周期之间的不相似性。此外,为了表征声门脉冲的突发性变化,我们计算了两个连续历元位置的激励强度(SoE)与波形峰值因子(WPF)的时间能量分布之比。为了捕捉每个声门循环的不对称行为,评估了高阶统计量(HOS)措施。这些特征显示了对声门停顿音和其他相邻音的区分,因此可以用来识别连续语音中的声门停顿音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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