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Modelling Emphatic Events from Non-Speech Aware Documents in Speech Based User Interfaces

Most of the every day documents we come across have been composed without any information of how to be rendered in a speech-based user interface. As a result, visual formations that might imply emphasis are being ignored by Text-to-Speech systems or text-adapting applications (screen readers) and furthermore, complex structures, such as tables, are usually being vocalized in a rough linearized form, which leads to a confusing provision of information. In this work we accommodate both cases, by altering segments of emphasis in the content text, leaving a prosodic space for the vocalization of meta-information as well. We present a model for locating emphatic events and assigning to them a custom prosodic behaviour. Events are being divided in implicit and explicit ones. We concluded that the latter requires insertions of text to the linear form of structures in order to be properly realized. A script-based framework (e-TSA Composer) that supports the manipulation of prosodic elements in response of specific meta-information has been used. Finally, a model of table vocalization using our approach shows the significant improvement of the information provision compared to commercial applications.