Stubley
John P. Stubley, St. Albans GB
Patent application number | Description | Published |
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20080279106 | SWITCHING FABRICS AND CONTROL PROTOCOLS FOR THEM - A network unit for use in a switching fabric includes multiple units collectively constituting a single network entity, each having ports for the reception and forwarding of data packets. The network unit has at least one fabric port for connection to a partner port on another one of the units by at least one link. The network unit is organized to send and receive via the at least one fabric port protocol packets which contain information on the path costs between said units in the fabric and to perform an algorithm to determine, on the basis of said information, routes for data packets within the fabric to other units of the fabric. | 11-13-2008 |
20120243552 | SWITCHING FABRICS AND CONTROL PROTOCOLS FOR THEM - A network unit for use in a switching fabric includes multiple units collectively constituting a single network entity, each having ports for the reception and forwarding of data packets. The network unit has at least one fabric port for connection to a partner port on another one of the units by at least one link. The network unit is organized to send and receive via the at least one fabric port protocol packets which contain information on the path costs between said units in the fabric and to perform an algorithm to determine, on the basis of said information, routes for data packets within the fabric to other units of the fabric. | 09-27-2012 |
Peter Stubley, Lachine CA
Patent application number | Description | Published |
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20090259466 | Adaptive Confidence Thresholds for Speech Recognition - Adjusting confidence score thresholds is described for a speech recognition engine. The speech recognition engine is implemented in multiple computer processes functioning in a computer processor, and is characterized by an associated receiver operating characteristic (ROC) curve. A results confirmation process interprets user confirmation of speech recognition results within a given confidence score threshold to create a confirmed portion of the ROC curve for the speech recognition engine. A curve extension process extends the confirmed portion of the ROC curve by extrapolation of unconfirmed speech recognition results beyond the confidence score threshold to generate an extended ROC curve. A threshold adjustment process adjusts the confidence score threshold based on the extended ROC curve to meet target operating constraints for operating the speech recognition engine to perform automatic speech recognition of user speech inputs. | 10-15-2009 |
Peter R. Stubley, Lachine CA
Patent application number | Description | Published |
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20080240396 | Semi-supervised training of destination map for call handling applications - A method of semi-supervised synonym inference for a call handling application, such as automated directory assistance or call routing, is described. In one embodiment the method comprises examining a database of caller interaction results from a directory assistance system that includes an automated directory assistance engine, detecting a specified characteristic in the caller interaction results, and using the detected characteristic to automatically train a destination map, where the destination map is for use by the automated directory assistance engine in automatically mapping human speech to a destination. The detecting of the specified characteristic in the caller interaction results may include a statistical analysis of the caller interaction results for each of one or more speech recognition strings. | 10-02-2008 |
20110311038 | SEMI-SUPERVISED TRAINING OF DESTINATION MAP FOR CALL HANDLING APPLICATIONS - A method of semi-supervised synonym inference for a call handling application, such as automated directory assistance or call routing, is described. In one embodiment the method comprises examining a database of caller interaction results from a directory assistance system that includes an automated directory assistance engine, detecting a specified characteristic in the caller interaction results, and using the detected characteristic to automatically train a destination map, where the destination map is for use by the automated directory assistance engine in automatically mapping human speech to a destination. The detecting of the specified characteristic in the caller interaction results may include a statistical analysis of the caller interaction results for each of one or more speech recognition strings. | 12-22-2011 |