| 摘要 |
A homograph filter and method which increase the probability that homographs are pronounced correctly in a speech synthesis system utilizes a filter engine operating in conjunction with a set of rules. The filter engine parses a textual sentence to extract any present homographs and applies a correct set of rules to the homograph, based on an optimal search algorithm. The engine then carries out any appropriate substitution of phonetic data. Rules are primarily based on syntactic analisis, based on a priori knowledge of how each homograph is used. The rule set is classified into different categories in order to optimize the search algorithm and to allow the rules to be modified and updated incrementally without effecting the engine construction and/or performance. The search algorithm utilizes syntactic analysis to achieve optimum results. If syntactic analysis does not yield a satisfactory result, semantic analysis could also be utilized to determine the usage of the homograph based on the contents of the items which surround the homograph. The rule set contains a set of grammatical rules to perform syntactic analysis. If syntactic or semantic analysis does not yield a result, the result will be based on the statistical usage of the given homograph.
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