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This paper investigates a method of automatic pronunciation scoring for use in computer-assisted language learning (CALL) systems. The method utilises a likelihood-based`Goodness of Pronunciation' (GOP) measure which is extended to include individual thresholds for each phone based on both averaged native con®dence scores and on rejection statistics(More)
Advances in commercially-available ASR technology have enabled the deployment of " How-may-I-help-you? " interactions to automate call routing. While often preferred to menu-based or directed dialog strategies, there is little quantitative research into the relationships among prompt style, task completion, user preference/satisfaction, and domain. This(More)
Previous studies have shown that stimulation of the rat anterior pretectal nucleus (APtN) strongly depresses a spinal reflex to noxious heat without causing significant aversion or depression of other motor responses. It is not known if APtN stimulation can similarly reduce the aversiveness of electrical stimulation of the brain, nor is it known if APtN(More)
This paper analyzes the behavior of callers responding to a speech recognition system when prompted either with an open or a directed dialog strategy. The results of two usability studies with different caller populations are presented. Differences between the results from the two studies are analyzed and are shown to arise from the differences in the(More)
This paper investigates how to improve the acoustic modelling of non-native speech. For this purpose we present an adaptation technique to combine hidden Markov models of the source and the target language of a foreign language student. Such model combination requires a mapping of the mean vectors from target to source language. Therefore, three different(More)