Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2004-11-12
2011-10-18
Opsasnick, Michael N (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
Reexamination Certificate
active
08041566
ABSTRACT:
The present invention relates to a method, a computer system and a computer program product for speech recognition and/or text formatting by making use of topic specific statistical models. A text document which may be obtained from a first speech recognition pass is subject to segmentation and to an assignment of topic specific models for each obtained section. Each model of the set of models provides statistic information about language model probabilities, about text processing or formatting rules, as e.g. the interpretation of commands for punctuation, formatting, text highlighting or of ambiguous text portions requiring specific formatting, as well as a specific vocabulary being characteristic for each section of the recognized text. Furthermore, other properties of a speech recognition and/or formatting system (such as e.g. settings for the speaking rate) may be encoded in the statistical models. The models themselves are generated on the basis of annotated training data and/or by manual coding. Based on the assignment of models to sections of text an improved speech recognition and/or text formatting procedure is performed.
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International Search Report in corresponding PCT application IB2004/052403 of Jul. 15, 2005.
Klakow Dietrich
Matusov Evgeny
Meyer Carsten
Peters Jochen
Nuance Communications Austria GmbH
Opsasnick Michael N
Wolf Greenfield & Sacks P.C.
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