- Rita Singh, B. Raj. 2008. Discovery of temporal patterns in continuous nonrandom sound sequences.. Abstract: The problem addressed is that of automatically determining the minimal structures in structured sounds such as human speech. It is well established that human speech comprises consistent sound units (such as phonemes), a fact that is exploited by speech recognition systems, which only model the units, characterizing all speech as sequences of units. Currently, the units are typically manually defined, and their statistical models are assigned structures based on subjective judgments. In this work it is attempted to identify these units automatically through an analysis of data. The problem is treated as one of entropy minimization. The minimum entropy estimation principle assumes a structured universe and dictates the estimation of the most predictable model that the observations used to train the model will allow. For the current problem, this amounts to identifying a set of units such that every word can be represented by a minimum‐perplexity network over them. Experiments demonstrate that this procedur...
