Nuance Communications, Inc.

Tegic Communications, Inc.

David Jon Kay

Ethan Robert Bradford

Pim Van Meurs

Erland Unruh

Michael R Longe

Eric Jun Fu

Keith Charles Hullfish

Sundar Balasubramanian

Michael McSherry

Deepankar Katyal

Daniel Hendrick

Gaurav Tandon

Donni McCray

Michael R Longé

Andrew F Phillips

Simon H Corston

Keith Trnka

James Stephanick

Gordon Kessler

Mark Evans Brighton

Santosh Sharan

Christina James

B Alex Robinson

Richard Eyraud

Aaron Sheedy

Gordon Waddell

Greg Sigel

Claes-Fredrik Mannby

Mayank Agarwal

Brian Yee

Peter C Peddie

Lisa Nathan

Alex Robinson

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

Systems and methods are described herein for performing actions based on a determined intent within messages received by a mobile device. In some embodiments, the systems and methods may access a message received by a mobile application (e.g., text messaging application, chat application, and so on) of the mobile device, analyze the message to determine an intent of the message (e.g., whether the message includes a request or a task for a recipient of the message), and perform an action based on the determined intent (e.g., set a reminder when the message includes a task for the recipient). Further details are described herein.

Performing actions based on determined intent of messages

Technology for improving the predictive accuracy of input word recognition on a device by dynamically updating the lexicon of recognized words based on the word choices made by similar users. The technology collects users' vocabulary choices (e.g., words that each user uses, or adds to or removes from a word recognition dictionary), associates users who make similar choices, aggregates related vocabulary choices, filters the words, and sends words identified as likely choices for that user to the user's device. Clusters may include, for example, users in a particular location (e.g., sets of people who use words such as 'Puyallup,' 'Gloucester,' or &#x201c;Waiheke&#x201d;), users with a particular professional or hobby vocabulary, or application-specific vocabulary (e.g., word choices in map searches or email messages).

Updating population language models based on changes made by user clusters

The disclosed system provides an efficient method of using a later word or words entered after a previous word along with one or more language models that show which words are likely to occur together to identify a better disambiguated choice for the previous word. To identify the better disambiguated choice for the previous word, the system can evaluate the conditional probability for the later word of various candidate previous words, and select the candidate previous word that has the highest conditional probability. If the conditional probability of the selected candidate previous word exceeds that of the previous word that was entered by at least a factor, then the system can include the selected candidate previous word in a selection list for user selection. The disclosed system also provides an efficient method for using one or more language models and a later word to correct errors in segmenting the word.

Correction of previous words and other user text input errors

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

An operating sequence for a handheld computing device manages the device to automatically detect cues describing the device's environmental and user actions performed with the device, learn which cues and cue combinations are relevant to predict user actions, and then in response to occurrence of the relevant cues, predictively implementing the appropriate user action or configuring the device in anticipation of user action.

Contextual prediction of user words and user actions

Systems and methods for intelligent language models that can be used across multiple devices are provided. Some embodiments provide for a client-server system for integrating change events from each device running a local language processing system into a master language model. The change events can be integrated, not only into the master model, but also into each of the other local language models. As a result, some embodiments enable restoration to new devices as well as synchronization of usage across multiple devices. In addition, real-time messaging can be used on selected messages to ensure that high priority change events are updated quickly across all active devices. Using a subscription model driven by a server infrastructure, utilization logic on the client side can also drive selective language model updates.

Subscription updates in multiple device language models

A system and method for entering text from a user includes a programmed processor that receives inputs from the user and disambiguates the inputs to present word choices corresponding to the text. In one embodiment, inputs are received in two or more modalities and are analyzed to present the word choices. In another embodiment, a keyboard is divided into zones each of which represents two more input characters. A sequence of zones selected by the user is analyzed to present word choices corresponding to the zone selected.

Multimodal text input system, such as for use with touch screens on mobile phones

An adaptation of standard edit distance spell-check algorithms leverages probability-based regional auto-correction algorithms and data structures for ambiguous keypads and other predictive text input systems to provide enhanced typing correction and spell-check features. Strategies for optimization and for ordering results of different types are also provided.

Spell-check for a keyboard system with automatic correction

The present invention relates to a method and apparatus for explicit filtering in ambiguous text entry. The invention provides embodiments including various explicit text entry methodologies, such as 2-key and long pressing. The invention also provides means for matching words in a database using build around methodology, stem locking methodology, word completion methodology, and n-gram searches.

Growing community of inventors

Seattle, WA, United States of America

David Jon Kay