In voice production the random variation of the glottal cycles in relation to a mean value caused by the (quasi-) periodic movement of the vocal folds generates the jitter phenomenon. Its study is important due to applications as identification of pathologies related to the voice, improvement of the naturalness of synthesized voices and calibration of signal processing algorithms to identify glottal cycles. The objective of this work is to build stochastic models for glottal signals, using the Rosenberg and Liljencrants-Fant models with unified parameters, and considering the glottal time interval as a random variable (total time from the opening up to the closing of the vocal folds in each cycle), simulating the situation where the stiffness of the vocal folds is a stochastic process. Four different models are proposed with generation of jitter phenomenon in glottal signals simulated. Intelligible voiced sounds are obtained, in the case of normal voices, signal with low level of jitter, and also in hoarse voices, when the levels of jitter are higher. All the sounds simulated are available to be listened.

在声音产生中，声门周期相对于平均值的随机变化是由声带的（准）周期性运动引起的，从而产生抖动现象。由于其在与语音相关的病理学识别，合成语音的自然性提高以及信号处理算法的校准以识别声门循环方面的应用，其研究具有重要意义。这项工作的目的是使用具有统一参数的Rosenberg和Liljencrants-Fant模型建立声门信号的随机模型，并将声门时间间隔视为一个随机变量（从打开声带到闭合声带的总时间）在每个循环中），模拟声带的刚度是随机过程的情况。提出了四种不同的模型，模拟了声门信号中的抖动现象。在普通声音的情况下，如果抖动水平较高，则可以得到可理解的浊音，并且信号的抖动水平较低，在嘶哑的声音中也可以得到。所有模拟的声音都可以收听。