International Business Machines Corporation

Nuance Communications, Inc.

Barry Neil Dow

Jonathan Limburn

John Brian Pickering

Eric William Janke

Benjamin Terrick Staniford

Daniel Lee Yuk Cheung

Fenglian Xu

Peter J Johnson

Stephen Graham Lawrence

Stephen Graham Copinger Lawrence

Task handling in a master data management (MDM) system. A task pattern associated with a task completed is identified, in a task handling system. If the identified task pattern matches an existing task pattern in a task patterns database, then a pattern count value of the matching existing task pattern is incremented, and the task patterns database is searched for task patterns that are similar to the matching existing task pattern. If similar task patterns are identified, for each of the similar task patterns, a duplicate pattern count is specified that is based on the number of identified similar task patterns. If the duplicate pattern count for any one of the similar task patterns exceeds a specified threshold, a new task is created comprising data on completion actions for the matching existing task pattern and each of the one or more similar task patterns.

Task handling in a master data management system

An aspect includes verifying a telephone caller origin carried out at a security application. The verifying includes activating a security process during an active telephone call to a user received at a first call identifier, accessing registered user service providers to obtain contact details of a registered service provider purporting to be the origin of the active telephone call, and sending a query to the obtained contact details of the registered service provider. The query includes the first call identifier. The verifying also includes receiving a returned query result confirming or denying that the telephone call is from the registered service provider.

Verifying telephone caller origin

A server computer receives a user identifier from a user computer web browser program. The server computer identifies one or more uncompleted tasks associated with the user identifier that can be completed from the user computer via the user computer web browser program. The server computer then transmits to the user computer one or more universal resource locators (URLs) associated with the one or more uncompleted task, and the user computer provides access to the web pages referenced by the one or more URLs via the user computer web browser program. In certain embodiments, the server computer identifies the one or more uncompleted tasks by accessing a database that includes uncompleted tasks by user identifier and a URL associated with each uncompleted task. In other embodiments, the server updates the database when an uncompleted task associated with a user identifier is completed.

Browser start pages based on remote content

A method and apparatus for updating a speech model on a multi-user speech recognition system with a personal speech model for a single user. A speech recognition system, for instance in a car, can include a generic speech model for comparison with the user speech input. A way of identifying a personal speech model, for instance in a mobile phone, is connected to the system. A mechanism is included for receiving personal speech model components, for instance a BLUETOOTH connection. The generic speech model is updated using the received personal speech model components. Speech recognition can then be performed on user speech using the updated generic speech model.

Interactive speech recognition model

A system and method for automatic recognition of foreign speakers by performing analysis of a speech sample to produce a signal representative thereof and attempting to match the representative signal to one of a plurality of predetermined sounds to produce recognition; and determining whether a gap exists in a table of predetermined sounds in a predetermined language and, if a gap exists, substituting for matching a sound from a position in the table near the gap. This automatic substitution of known foreign pronunciation characteristics improves and modifies the output from standard, monolingual automatic speech recognition. There is no requirement to implement either adaptation or to impose additional manual modification of the baseform pool on the application developer. In addition, the danger of increased ambiguity is removed by introducing an explicit accent and/or language checker which queries known differences across accents.

System and method for automatic speech recognition

A distributed voice recognition system () and method employs principles of bottom-up (i.e., raw input) and top-down (i.e., prediction based on past experience) processing to perform client-side and server-side processing by (i) at the client-side, replacing application data by a phonotactic table (); (ii) at the server-side, tracking separate confidence scores for matches against an acoustic model and comparison to a grammar; and (iii) at the server-side using a contention resolver () to weight the client-side and server-side results to establish a single output which represents the collaboration between client-side processing and server-side processing.

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Hampshire, United Kingdom

Barry Neil Dow