Amazon Technologies, Inc.

Charles James Torbert

Joseph Pedro Tavares

Venkata Snehith Cherukuri

Deepak Uttam Shah

Ravi Kiran Rachakonda

Gang Lan

Mckay Clawson

Vijay Shankar Tennety

Mark A Lawrence

Tomas Manuel Fernandez

This disclosure describes techniques for identifying a voice-enabled device from a group of voice-enabled devices to respond to a speech utterance of a user. A speech-processing system may receive an audio signal representing the speech utterance captured in an environment of a voice-enabled device, and identify another voice-enabled device located in the environment. The system may analyze the audio signal using a different natural-language-understanding model for each of the voice-enabled devices to identify an intent for each of the voice-enabled devices to respond to the speech utterance. The system may determine confidence scores that the intents are responsive to the speech utterance, and select the intent with the highest confidence score. The system may use the selected intent to generate a command for the corresponding voice-enabled device to respond to the user.

Device selection from audio data

Devices, systems, and methods are provided for locally grouping voice-enabled device state communications. A device may determine first state information associated with the first device and send the first state information to a second device. The device may receive second state information associated with a second device and third state information associated with a third device. The device may receive an audible command, and may determine, based on the audible command, an indicator to send state data. The device may send the first state information, the second state information, the third state information, and data associated with the audible command. The device may receive fourth state information associated with the audible command.

Locally grouping voice-enabled device state communications

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Seattle, WA, United States of America

Charles James Torbert