Google LLC (20240331699). METHODS AND SYSTEMS FOR REDUCING LATENCY IN AUTOMATED ASSISTANT INTERACTIONS simplified abstract

METHODS AND SYSTEMS FOR REDUCING LATENCY IN AUTOMATED ASSISTANT INTERACTIONS

Organization Name

Google LLC

Inventor(s)

Lior Alon of Ramat Gan (IL)

Rafael Goldfarb of Hadera (IL)

Dekel Auster of Tel Aviv (IL)

Dan Rasin of Givatayim (IL)

Michael Andrew Goodman of Oakland CA (US)

Trevor Strohman of Sunnyvale CA (US)

Nino Tasca of San Francisco CA (US)

Valerie Nygaard of Saratoga CA (US)

Jaclyn Konzelmann of Mountain View CA (US)

METHODS AND SYSTEMS FOR REDUCING LATENCY IN AUTOMATED ASSISTANT INTERACTIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240331699 titled 'METHODS AND SYSTEMS FOR REDUCING LATENCY IN AUTOMATED ASSISTANT INTERACTIONS

The patent application aims to reduce latency in automated assistant interactions by predicting and pre-caching content based on spoken utterances.

• Client devices receive audio data capturing user utterances, which are processed to determine assistant commands.
• A latency prediction model is used to estimate the time needed to fulfill the assistant command.
• Based on the predicted latency, pre-cached content tailored to the command may be audibly rendered to the user before responsive content.
• The pre-cached content is presented while the responsive content is being obtained, enhancing user experience.

Potential Applications: - Improving user experience in automated assistant interactions - Enhancing the efficiency of voice-controlled devices - Streamlining communication between users and automated systems

Problems Solved: - Reducing latency in automated assistant responses - Enhancing user satisfaction with voice-controlled devices

Benefits: - Faster and more seamless interactions with automated assistants - Improved user experience through pre-cached content presentation

Commercial Applications: Title: "Enhancing User Experience in Voice-Controlled Devices" This technology could be utilized in smart speakers, virtual assistants, and other voice-controlled devices to provide a smoother and more efficient user experience. The market implications include increased user adoption and satisfaction with voice-controlled technology.

Questions about the Technology: 1. How does the latency prediction model work in determining the predicted latency for assistant commands? 2. What are the potential challenges in implementing pre-caching of content based on predicted latency in automated assistant interactions?

Frequently Updated Research: Stay updated on advancements in natural language processing and machine learning algorithms that could further improve latency prediction models in automated assistant interactions.

Original Abstract Submitted

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.