Matsushita Electric Industrial Co., Ltd.

Texas Instruments Corporation

Murat Karaorman

Jean-Claude Junqua

Roland Kuhn

Matteo Contolini

Yi Zhao

Michael Galler

Ken Field

In some embodiments, a system comprises a processor that executes an algorithm. Coupled to the processor is memory that stores the algorithm. In addition, the system comprises a hardware unit that is generally not accessible to the algorithm and an abstraction layer that indirectly facilitates interaction between the hardware unit and the algorithm. The hardware unit comprises one or more physical resources, such as data channels, that are associated by the abstraction layer with a logical resource. In addition, the abstraction layer creates an identifier to the logical resource that may be used by the algorithm. Associated with the identifier is a private state that represents the most recently configured settings of the logical resource. A vector table is used in conjugation with the private state to identify memory locations of optimized command functions that carry out operations associated with the hardware unit. In addition, the vector table is adapted to reflect the run-time state of the system.

Framework for high-performance hardware abstraction

A computer-implemented speech parsing method and apparatus for processing an input phrase. The method and apparatus include providing a plurality of grammars that are indicative of predetermined topics. A plurality of parse forests are generated using the grammars. Tags are associated with words preferably according to a scoring scheme utilizing the generated parse forests while parsing the input phrase. The tags that are associated with the words are used as a parsed representation of the input phrase.

Method and apparatus for natural language parsing using multiple passes and tags

A computer-implemented method and apparatus is provided for processing a spoken request from a user. A speech recognizer converts the spoken request into a digital format. A frame data structure associates semantic components of the digitized spoken request with predetermined slots. The slots are indicative of data which are used to achieve a predetermined goal. A speech understanding module which is connected to the speech recognizer and to the frame data structure determines semantic components of the spoken request. The slots are populated based upon the determined semantic components. A dialog manager which is connected to the speech understanding module may determine at least one slot which is unpopulated based upon the determined semantic components and in a preferred embodiment may provide confirmation of the populated slots. A computer generated-request is formulated in order for the user to provide data related to the unpopulated slot. The method and apparatus are well-suited (but not limited) to use in a hand-held speech translation device.

Method for goal-oriented speech translation in hand-held devices using meaning extraction and dialogue

Growing community of inventors

Santa Barbara, CA, United States of America

Murat Karaorman