Nuance Communications, Inc.

Sundar Balasubramanian

Michael McSherry

David Jon Kay

Eric Jun Fu

Deepankar Katyal

Daniel Hendrick

Pim Van Meurs

Shreedhar Madhavapeddi

Aaron Sheedy

Gary B Clayton

Abhishek Chhibber

A system and an associated method for responding to a user's voice inquiry are disclosed. The system accepts the voice inquiry and obtains personal data regarding the user. The system then identifies potential subjects of interest in the voice inquiry from media content currently provided to the user through a device which has captured the voice inquiry, media content present in or capturing the user's surroundings, or media content previously provided to the user as responses to previous voice inquiries by the user. Next, the system determines at least one subject of interest based on at least one of the personal data and the user's previous voice inquiries. The system then presents a response related to the determined subject of interest to the user's voice inquiry.

Using environment and user data to deliver advertisements targeted to user interests, e.g. based on a single command

The present technology relates to enhancing a message with supplemental content. The system may enhance a message based on topics identified in past correspondence messages or topics anticipated based on an intended recipient of a correspondence message being drafted. The system can operate in combination or conjunction with a language prediction system, an optimizing language model, and a text input method. The systems and methods provide users with supplemental content at a time and in a specific situation, which allows for effective targeting of content.

Enhancing a message by providing supplemental content in the message

A system and with an associated method for preloading advertisements from a server to a user's device is disclosed. In response to inquiries made by members of a user group, user devices of the members present advertisements to the members and the server keeps a record of these presentations. Next, the server identifies those advertisements which have been frequently presented to the members, and preloads the identified advertisements to the device of a user who belongs to the user group. Subsequently, upon receiving a specific inquiry by the user's device, the server determines a response to the specific inquiry. When the determined response contains one of the preloaded advertisements, the server sends an instruction to the user's device to present the preloaded advertisement to the user.

Dynamic embedded recognizer and preloading on client devices grammars for recognizing user inquiries and responses

A system with an associated method for preloading advertisements by a server to a user's device is disclosed. In response to inquiries made by members of a user group, the system presents advertisements to the members and keeps a record of these presentations. Next, the system identifies those advertisements which have been frequently presented to the members, and preloads the identified advertisements on the device of a user who belongs to the user group. Subsequently, upon receiving a specific inquiry from the user's device, the system determines a response to the specific inquiry. When the determined response contains one of the preloaded advertisements, the system sends an instruction to the user's device to present the preloaded advertisement to the user.

Voice-controlled information exchange platform, such as for providing information to supplement advertising

An automated communication system with an associated method for presenting customized voices is disclosed. The system which performs a predetermined task accepts information regarding an intended user indicating the intended user's identity, preferences, etc. Next, the system customizes one or more voices for the intended user based on the accepted information. The system then presents to the intended user one or more audible communications converted from text associated with a predetermined task performed by the system using the one or more customized voices.

Automatically presenting different user experiences, such as customized voices in automated communication systems

A system and method are described for engaging an audience in a conversational advertisement. A conversational advertising system converses with an audience using spoken words. The conversational advertising system uses a speech recognition application to convert an audience's spoken input into text and a text-to-speech application to transform text of a response to speech that is to be played to the audience. The conversational adverting system follows an advertisement script to guide the audience in a conversation.

Systems and methods for engaging an audience in a conversational advertisement

A facilitation and enhancement of interactions between a caller and a called party, such as a call center. The enhancement of interactions between a mobile device caller and a call center is by the communication of the mobile device caller's location and/or preferences to the call center. The communication can be in the form of a data structure stored on a computer-readable storage device, which may be transmitted from the mobile device caller to a call center controller. The data structure contains a caller identification entry, which allows the call center to match the data structure with a caller. In addition, a caller context entry associates additional data to the caller identification entry. The additional data includes at least one preference and/or location of the caller. Processor-based methods are disclosed to create, transmit, and/or utilize the data structure.

Enhancing information delivery to a called party

A system and method are described for delivering to a member of an audience supplemental information related to presented media content. Media content is associated with media metadata that identifies active content elements in the media content and supported intents associated with those content elements. A member of an audience may submit input related to an active content element. The audience input is compared to media metadata to determine whether supplemental information can be identified that would be appropriate to deliver to the audience member based on that person's input. In some implementations, audience input includes audio data of an audience's spoken input regarding the media content.

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Seattle, WA, United States of America

Sundar Balasubramanian