Markovian Model of Time Patterns of Speech

Abstract

The time pattern of speech is describable as a first-order Markov process when presence or absence is sampled at a rate of 200 times per minute. Two types of monolog were generated under different conditions of environmental constraint. Although both fit the model, estimates of their mean range of statistical dependency differed significantly.