Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating and operating voice conversing virtual agents with pre-modeled and inherited human behavior across use cases and domains. One of the methods includes: using a first non-domain specific neural network based model to predict a non-domain specific conversational situation, the first neural network based model trained with labelled parts of conversations from more than one domain; forwarding the non-domain specific conversational situation to a second domain specific neural network based model; using the second domain specific neural network based model to predict a conversational situation and to provide a system intent, the second domain specific neural network based model trained with labelled parts of conversation from a specified domain; and generating a response based at least in part on the predicted conversational situation and system intent.

Abstract: An exemplary computer system configured to train an ASR using the output from a TTS engine.

Abstract: A method for determining the prosody of a tag question in human speech and preserving said prosody as the human speech is translated into a different language.

Abstract: A method (and a computer-readable medium comprising executable instructions for generating a user interface on a display) are disclosed for controlling a plurality of media objects connected to a network. The method displays a subset of a group of predefined functional interfaces. A functional interface comprises one or more user menus and each user menus is associated with at least one media object. The method forwards a user request to a control server and to receive a response to the user request from the control server. A user request comprises one or more user interactions with the subset of the functional interfaces. The method further comprises updating the subset of the functional interfaces on the display screen.

Abstract: A system, method and computer program product are provided for dynamic content delivery. Initially, at a first point in time, content is received with metadata, utilizing a network. In use, at a second point in time (after the first point in time), at least one aspect of the delivery of the content, may be controlled and/or modified utilizing the metadata. To this end, at least one aspect of the delivery of the content (which may, as an option, even include the content itself) may be updated and/or made current.

Abstract: A method (and a computer-readable medium comprising executable instructions for generating a user interface on a display) are disclosed for controlling a plurality of media objects connected to a network. The method displays a subset of a group of predefined functional interfaces. A functional interface comprises one or more user menus and each user menus is associated with at least one media object. The method forwards a user request to a control server and to receive a response to the user request from the control server. A user request comprises one or more user interactions with the subset of the functional interfaces. The method further comprises updating the subset of the functional interfaces on the display screen.

Abstract: A method (and a computer-readable medium comprising executable instructions for generating a user interface on a display) are disclosed for controlling a plurality of media objects connected to a network. The method displays a subset of a group of predefined functional interfaces. A functional interface comprises one or more user menus and each user menus is associated with at least one media object. The method forwards a user request to a control server and to receive a response to the user request from the control server. A user request comprises one or more user interactions with the subset of the functional interfaces. The method further comprises updating the subset of the functional interfaces on the display screen.