Abstract: A method, system, computer program and web service for authenticating a document is described comprising; receiving a request to verify the earliest date of a document, such a request including the document itself; creating a signature of the received document by running the document against a checksum algorithm; searching a database for a matching signature to the created signature; and responding to the request with a date associated with a matched signature. The checksum algorithm is an MD5 algorithm and will produce a unique signature for each non-identical set of binary data and no two sets of binary data will render an identical signature. Signatures are created of the objects of a document. Separate signatures are created of the content and the formatting of the document.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: This invention relates to a method and apparatus in an interactive voice response system for caching VoiceXML documents. A method and system for processing a VoiceXML document prior to interpretation by a browser comprises: receiving a document from a web server; constructing a document object model (DOM) of the constituent parts of the document for interpretation by a browser; storing the DOM and the constituents parts in cache memory whereby next time the DOM and parts are required for interpretation it is retrieved from cache memory rather than constructed again from the source code. The constituent parts may be re-used in the or other documents. The constituent parts are separated into logic and data parts.

Abstract: This invention relates to a method and apparatus in an interactive voice response system for caching VoiceXML documents. A method and system for processing a VoiceXML document prior to interpretation by a browser comprises: receiving a document from a web server; constructing a document object model (DOM) of the constituent parts of the document for interpretation by a browser; storing the DOM and the constituents parts in cache memory whereby next time the DOM and parts are required for interpretation it is retrieved from cache memory rather than constructed again from the source code. The constituent parts may be re-used in the or other documents. The constituent parts are separated into logic and data parts.