Amazon Technologies, Inc.

Kevindra Pal Singh

Adam D Baran

Rashmi Tonge

Nnenna Eleanya Okwara

Troy Dean Schuring

Rohin Dabas

Michael James Montgomery

Bradford Lynch

Udai Sen Mody

David Robert Thomas

David Thomas

Described herein is a system for enabling a user to perform complex goals using multiple skills/applications of an intelligent assistant device. Skills may register as consumers of an action or providers of an action, and the consumer skills may be configured to invoke provider skills to perform actions. The system receives a request to perform an action from a skill along with some action data. The system validates the action data, selects another skill to perform the action, and forwards the request to the selected skill to perform the action.

Multiple skills processing

A system configured to process an incoming spoken utterance and to coordinate among multiple speechlet components to execute an action of the utterance, where the output of one speechlet may be used as the input to another speechlet to ultimately perform the action. The speechlets and intervening actions need not be expressly invoked by the utterance. Rather the system may determine how best to complete the action and may identify intermediate speechlets that may be provide input data to the speechlet that will ultimately perform the action. The speechlets may be configured to recognize a common universe of actions and/or entities rather than have each speechlet or subject matter domain have its own set of recognizable actions and entities.

Universal and user-specific command processing

A system configured to process an incoming spoken utterance and to coordinate among multiple speechlet components to execute an action of the utterance, where a trained model considers user history and preference information to select the primary speechlet to execute the action as well as any intermediate speechlets that may be provide input data to the speechlet that will ultimately perform the action. The trained model may also consider current dialog information, feedback data, or other data when determining how to process a dialog.

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Seattle, WA, United States of America

Kevindra Pal Singh