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Method for interactive speech recognition and training

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This article is published in Expert Systems With Applications.The article was published on 1992-01-01. It has received 452 citations till now. The article focuses on the topics: Viseme & Speech corpus.

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Patent

Intelligent Automated Assistant

TL;DR: In this article, 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.
PatentDOI

Systems and methods for responding to natural language speech utterance

TL;DR: In this paper, a system for receiving speech and non-speech communications of natural language questions and commands, transcribing the speech and NN communications to textual messages, and executing the questions and/or commands is presented.
Patent

Automated Response to and Sensing of User Activity in Portable Devices

TL;DR: In this paper, 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.
Patent

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

TL;DR: In this article, a mobile system is provided that includes speech-based and non-speech-based interfaces for telematics applications that identify 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.
Patent

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

TL;DR: In this article, a virtual assistant uses context information to supplement natural language or gestural input from a user, which helps to clarify the user's intent and reduce the number of candidate interpretations of user's input, and reduces the need for the user to provide excessive clarification input.
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