Richard Eyraud

Bio: Richard Eyraud is an academic researcher from Nuance Communications. The author has contributed to research in topics: Direct voice input & Modality (human–computer interaction). The author has an hindex of 3, co-authored 4 publications receiving 596 citations.

Multimodal disambiguation of speech recognition

Abstract: The present invention provides a speech recognition system combined with one or more alternate input modalities to ensure efficient and accurate text input. The speech recognition system achieves less than perfect accuracy due to limited processing power, environmental noise, and/or natural variations in speaking style. The alternate input modalities use disambiguation or recognition engines to compensate for reduced keyboards, sloppy input, and/or natural variations in writing style. The ambiguity remaining in the speech recognition process is mostly orthogonal to the ambiguity inherent in the alternate input modality, such that the combination of the two modalities resolves the recognition errors efficiently and accurately. The invention is especially well suited for mobile devices with limited space for keyboards or touch-screen input.

Method and apparatus utilizing voice input to resolve ambiguous manually entered text input

Abstract: From a text entry tool (102), a digital data processing device receives inherently ambiguous user input (107). Independent of any other user input, the device interprets the received user input against a vocabulary (156) to yield candidates such as words (of which the use input forms the entire word or part such as a root, stem, syllable, affix), or phrases having the user input as one word. The device displays the candidates and applies speech recognition (130) to spoken user input. If the recognized speech comprises one of the candidates, that candidate is selected. If the recognized speech forms an extension of a candidate, the extended candidate is selected. If the recognized speech comprises other input (115), various other actions are taken.

Apparatus and method for providing visual indication of character ambiguity during text entry

Abstract: An apparatus and method for providing visual indication of character ambiguity and ensuing reduction of such ambiguity during text entry are described. An application text entry field (701) is presented in a display screen, into which the user enters text by means of a reduced keyboard and a disambiguating system. The default or most likely word construct for the current key sequence may be presented at the insertion point of the text entry field. An indication of ambiguity (702) is presented in the display screen to communicate to the user the possible ambiguous characters associated with each key. A word choice list field (703) may also be present to display at least one word construct matching the current key sequence.

Intelligent Automated Assistant

Abstract: An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Systems and methods for responding to natural language speech utterance

Abstract: Systems and methods are provided for receiving speech and non-speech communications of natural language questions and/or commands, transcribing the speech and non-speech communications to textual messages, and executing the questions and/or commands. The invention applies context, prior information, domain knowledge, and user specific profile data to achieve a natural environment for one or more users presenting questions or commands across multiple domains. The systems and methods creates, stores and uses extensive personal profile information for each user, thereby improving the reliability of determining the context of the speech and non-speech communications and presenting the expected results for a particular question or command.

Automated Response to and Sensing of User Activity in Portable Devices

Abstract: The various methods and devices described herein relate to devices which, in at least certain embodiments, may include one or more sensors for providing data relating to user activity and at least one processor for causing the device to respond based on the user activity which was determined, at least in part, through the sensors. The response by the device may include a change of state of the device, and the response may be automatically performed after the user activity is determined.

Mobile systems and methods of supporting natural language human-machine interactions

Abstract: A mobile system is provided that includes speech-based and non-speech-based interfaces for telematics applications. The mobile system identifies and uses context, prior information, domain knowledge, and user specific profile data to achieve a natural environment for users that submit requests and/or commands in multiple domains. The invention creates, stores and uses extensive personal profile information for each user, thereby improving the reliability of determining the context and presenting the expected results for a particular question or command. The invention may organize domain specific behavior and information into agents, that are distributable or updateable over a wide area network.

Using context information to facilitate processing of commands in a virtual assistant

Abstract: A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.