Hidden Markov models have been widely used for modeling sequences of weakly dependent random variables, with applications in as such as speech processing, neurophysiology and biology.

• 隐马尔可夫模型可应用于弱相依随机变量的建模上，也可用作研究发音过程、神经生理学与生物遗传等方面的工具。