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In this paper, we propose using an environment structuring framework to facilitate suitable prior density estimation for maximum a posteriori linear regression (MAPLR) under adverse testing conditions. The framework is constructed in a two-stage hierarchical tree structure by performing two algorithms, environment clustering and environment partitioning. The constructed framework has good capability...
This paper addresses issues in generating responses by extracting sentences from the Web for spoken decisionmaking dialogue systems. Various decision criteria are usually involved when selecting an alternative from a given set of alternatives. Such a dialogue system is required to explain the alternatives in terms of each decision criterion focusing on why the alternative is recommended. Preparation...
The performance of English automatic speech recognition systems decreases when recognizing spontaneous speech mainly due to occurring multiple pronunciation variants in the utterances. Previous approaches address the multiple pronunciation problem by modeling the alteration of the pronunciation on a phoneme to phoneme level. However, the phonetic transformation effects induced by the pronunciation...
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