Hierarchical approach for the statistical vowelization of...

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Reexamination Certificate

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C704S255000, C704S009000

Reexamination Certificate

active

08069045

ABSTRACT:
The present invention relates to the field of computer-aided text and speech processing, and in particular to a method and respective system for converting an input text given in an incomplete language, for example a language, in which unvowelized text is used, into speech, wherein a computer-aided grapheme-phoneme conversion is used. In order to improve completion of the text, it is proposed toa) use statistical methods including decision trees and stochastic language models for enriching, i.e. completing said input text with missing information—which may be desired for a full understanding of the input textb) subjecting the completed input text to said grapheme-phoneme conversion to produce synthetic speech.Advantageously, the text is completed according to a model hierarchy giving higher priority to longer chunks of text, ie sentences (310, 315, 320) then multiword phrases (330, 335, 340), then words (350, 355, 360) and finally character groups (370, 375, 380, 390).

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patent: 2005/0015237 (2005-01-01), Debili
patent: 2006/0107200 (2006-05-01), Ching
Francois Yvon, Grapheme-to-Phoneme Conversion using Multiple Unbounded Overlapping Chunks, 1996, Proceedings of the International Conference New Methods in language Processing, No. 2, pp. 1-11.
Simard, M., Automatic Insertion of Accents in French Text 1998, Third Conference on Empirical Methods in Natural Language Processing, pp. 1-9.
D. Yarowsky, A comparison of corpus-based techniques for restoring accents in Spanish and French text 1999, Kluwer Academic Publishers, pp. 99-120.

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