Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2007-03-13
2008-11-11
Opsasnick, Michael N (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S233000, C704S243000, C704S244000
Reexamination Certificate
active
07451081
ABSTRACT:
Speech recognition models are dynamically re-configurable based on user information, application information, background information such as background noise and transducer information such as transducer response characteristics to provide users with alternate input modes to keyboard text entry. Word recognition lattices are generated for each data field of an application and dynamically concatenated into a single word recognition lattice. A language model is applied to the concatenated word recognition lattice to determine the relationships between the word recognition lattices and repeated until the generated word recognition lattices are acceptable or differ from a predetermined value only by a threshold amount. These techniques of dynamic re-configurable speech recognition provide for deployment of speech recognition on small devices such as mobile phones and personal digital assistants as well environments such as office, home or vehicle while maintaining the accuracy of the speech recognition.
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Gajic Bojana
Narayanan Shrikanth Sambasivan
Parthasarathy Sarangarajan
Rose Richard Cameron
Rosenberg Aaron Edward
AT&T Corp.
Opsasnick Michael N
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