The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 24, 2007
Filed:
Mar. 06, 2002
Bojana Gajic, Trondheim, NO;
Shrikanth Sambasivan Narayanan, Los Angeles, CA (US);
Sarangarajan Parthasarathy, New Providence, NJ (US);
Richard Cameron Rose, Watchung, NJ (US);
Aaron Edward Rosenberg, Berkeley Heights, NJ (US);
Bojana Gajic, Trondheim, NO;
Shrikanth Sambasivan Narayanan, Los Angeles, CA (US);
Sarangarajan Parthasarathy, New Providence, NJ (US);
Richard Cameron Rose, Watchung, NJ (US);
Aaron Edward Rosenberg, Berkeley Heights, NJ (US);
AT&T Corp., New York, NY (US);
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.