Prosodically Enriched Text Annotation for High Quality Speech Synthesis
(October 2005)Abstract
Linguistically enriched text generated from natural language modules contributes significantly on the quality of speech synthesis. For all cases where such modules are not available, such enriched input needs to be produced from plain text in order to maintain quality. This work reports on a framework of several combined language resources and procedures (word/sentence identification, syntactic analysis, prosodic feature annotation) for text annotation/processing from plain text. Using that, the implementation of an automatic XML formatted output generation module produces the prosodically enriched markup.