Amazon Technologies, Inc.

John Ryan Sherritt

Bhavesh Anil Doshi

Prashant Hegde

David Henry

Neil David Cooper

Kevin Robert McGehee

Laura Varnum Finney

Philippe Andre Lantin

Ravi Chemudugunta

A speech-processing system may provide access to one or more virtual assistants via an audio-controlled device. A multi-agent component of a device may be used to coordinate control of device process(es) regardless of the invoked agent and without necessarily sharing information between agents and corresponding speech-processing system(s). Device-state information may be sent from the multi-agent component to a speech-processing system to interpret a user command. If the command relates to a device process control it may be routed to a device skill and to the multi-agent component of the device. The multi-agent component may track a device state and may inform a particular speech-processing system if a process related to the particular speech-processing system has been controlled.

Multi-assistant device control

A speech-processing system may provide access to one or more virtual assistants via a voice-controlled device. The system may be activated by detecting a wakeword in speech received by a microphone of the device. The system may process the speech and provide a response in the form of synthetic speech. When a speaker of the device synthetic emits the speech, the microphone may detect some or all of the speech. If the synthetic speech includes a wakeword or words or phrases similar to the wakeword, a wakeword detection component of the device may detect the wakeword and activate an assistant, resulting in a self-wake or cross-wake. Self- or cross-wake may interrupt an action or response currently in progress, which may frustrate the user and result in a poor user experience. This disclosure thus proposes systems and methods for preventing cross-wake and self-wake in a voice-controlled device.

Preventing inadvertent wake in a speech-controlled device

An extendable augmented reality (AR) system for recognizing objects. The AR system may incorporate plugins to improve the AR system's ability to recognize objects, such as by adding external matchable data or using external recognition algorithms. The plugins may be installed/activated dynamically by a user to expand the system's AR capabilities. The AR system may also incorporate plugins to improve the AR system's post-recognition features such as supplying a user with supplemental content or follow-up functionality. The AR system may filter communications with the plugins to centralize identification processes, to shield plugins, and to ensure plugins are only activated at appropriate times.

Extendable architecture for augmented reality system

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Bothell, WA, United States of America

John Ryan Sherritt