Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
This paper presents trainable methods for generating letter to sound rules from a given lexicon for use in pronouncing out-ofvocabulary words and as a method for lexicon compressi...
In this paper, minimization of the statistical dependence is exploited for acoustic source localization purposes. Originally developed for the separation of signal mixtures, we sh...
Anthony Lombard, Yuanhang Zheng, Walter Kellermann
We describe SCoT, a Spoken Conversational Tutor, which has been implemented in order to investigate the advantages of natural language in tutoring, especially spoken language. SCo...
Karl Schultz, Brady Clark, Heather Pon-Barry, Eliz...
One of the major problems in modeling natural signals is that signals with very similar structure may locally have completely different measurements, e.g., images taken under diff...