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Designing a speech corpus for instancebased spoken language generation

Pan, Shimei; Weng, Wubin

In spoken language applications such as conversation systems where not only the speech waveforms but also the content of the speech (the text) need to be generated automatically, a Concept-to-Speech (CTS) system is needed. In this paper, we address several issues on designing a speech corpus to facilitate an instance-based integrated CTS framework. Both the instance-based CTS generation approach and the corpus design process have not been addressed systematically in previous researches.

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Academic Units
Computer Science
Publisher
Proceedings of Int. Conf. on Natural Language Generation
Published Here
May 10, 2013