Abstract: A system and method for customizing communication in a social television framework is described. The method includes retrieving a current context data set corresponding to multiple users, wherein the current context data set includes a user profile component and a media content component. A customized mark set is determined based on an analysis of the current context data set, and at least one of the marks in the customized mark set is sent to a client end device to be experienced by at least one of the users.

Abstract: A system and method for customizing communication in a social television framework is described. The method includes retrieving a current context data set corresponding to multiple users, wherein the current context data set includes a user profile component and a media content component. A customized mark set is determined based on an analysis of the current context data set, and at least one of the marks in the customized mark set is sent to a client end device to be experienced by at least one of the users.

Abstract: A controller (10) senses via one or more sensors (12) parameters that correspond to likely cognitive loading for the driver of a vehicle. Based upon a sense of this cognitive loading, the controller (10) selects a particular user interface mode from amongst a plurality of user interface modes when receiving a message via a wireless unit (11) intended for the driver of the vehicle. In general, the selected user interface will present a corresponding cognitive challenge that is reasonable in view of the present cognitive load being experienced by the driver. In one embodiment, the sensor information can be used to also estimate the likely duration of present cognitive loading. This window-of-opportunity information is then additionally used to select a particular user interface option.

Abstract: Means and method are for sending a wireless message (620) by a personal messaging device (2000) using a message template (305, 400, 500) that is formed by user input. A static component (405), dynamic component (410, 510), and trigger condition (415) of a message template are specified by user input and stored in the personal messaging device. When satisfied, the trigger condition causes one or more wireless messages to be transmitted using the message template. The dynamic component of the message template may include a set of dynamic information (411) obtained from a set of information sources at the occurrence of one or more dynamic events. The one or more dynamic events (412, 512) may be the same as the trigger condition.

Abstract: A controller (10) senses via one or more sensors (12) parameters that correspond to likely cognitive loading for the driver of a vehicle. Based upon a sense of this cognitive loading, the controller (10) selects a particular user interface mode from amongst a plurality of user interface modes when receiving a message via a wireless unit (11) intended for the driver of the vehicle. In general, the selected user interface will present a corresponding cognitive challenge that is reasonable in view of the present cognitive load being experienced by the driver. In one embodiment, the sensor information can be used to also estimate the likely duration of present cognitive loading. This window-of-opportunity information is then additionally used to select a particular user interface option.

Abstract: A method (2000), device (2200) and article of manufacture (2300) provide, in response to lexical pronunciation information, efficient generation of postlexical pronunciation information. A method is presented for providing, in response to a lexical pronunciation, efficient generation of a postlexical pronunciation, including the steps of: determining lexical phones, lexical features, and boundary information for a predetermined portion of text; and utilizing a pretrained neural network that was pretrained using lexical phones, postlexical phones, lexical features, and boundary information to generate a neural network hypothesis for a postlexical pronunciation of the predetermined portion of text.

Abstract: The present invention teaches a method (400), device and system (300) utilizing at least one of: mapping a sequence of phones to a sequence of articulatory features and utilizing prominence and boundary information, in addition to a predetermined set of rules for type, phonetic context, syntactic and prosodic context for phones to provide provide a system that generates segment durations efficiently with a small training set.

Abstract: A method (400), device and system (300) provide, in response to linguistic information, efficient generation of a parametric representation of speech using a neural network.