Google Inc.

Nino Tasca

Trevor D Strohman

Michael Andrew Goodman

Jaclyn Konzelmann

Valerie Nygaard

Dan Rasin

Rafael Goldfarb

Lior Alon

Dekel Auster

Implementations described herein relate to reducing latency in automated assistant interactions. In some implementations, a client device can receive audio data that captures a spoken utterance of a user. The audio data can be processed to determine an assistant command to be performed by an automated assistant. The assistant command can be processed, using a latency prediction model, to generate a predicted latency to fulfill the assistant command. Further, the client device (or the automated assistant) can determine, based on the predicted latency, whether to audibly render pre-cached content for presentation to the user prior to audibly rendering content that is responsive to the spoken utterance. The pre-cached content can be tailored to the assistant command and audibly rendered for presentation to the user while the content is being obtained, and the content can be audibly rendered for presentation to the user subsequent to the pre-cached content.

Methods and systems for reducing latency in automated assistant interactions

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San Francisco, CA, United States of America

Nino Tasca