Google llc (20240203423). COLLABORATIVE RANKING OF INTERPRETATIONS OF SPOKEN UTTERANCES simplified abstract

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COLLABORATIVE RANKING OF INTERPRETATIONS OF SPOKEN UTTERANCES

Organization Name

google llc

Inventor(s)

Akshay Goel of Seattle WA (US)

Nitin Khandelwal of Sunnyvale CA (US)

Richard Park of Palo Alto CA (US)

Brian Chatham of Pleasanton CA (US)

Jonathan Eccles of San Francisco CA (US)

David Sanchez of Burlingame CA (US)

Dmytro Lapchuk of Mountain View CA (US)

COLLABORATIVE RANKING OF INTERPRETATIONS OF SPOKEN UTTERANCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240203423 titled 'COLLABORATIVE RANKING OF INTERPRETATIONS OF SPOKEN UTTERANCES

    • Simplified Explanation:**

The patent application focuses on enabling collaborative ranking of interpretations of spoken utterances by automated assistants and third-party agents. The automated assistant can determine first-party interpretations of a user's spoken utterance, while third-party agents can determine their own interpretations. The automated assistant can select a final interpretation and instruct a third-party agent to act on it.

    • Key Features and Innovation:**
  • Collaborative ranking of interpretations of spoken utterances
  • Involvement of automated assistants and third-party agents
  • Selection of final interpretation by automated assistant
  • Instruction for action based on final interpretation
    • Potential Applications:**

This technology can be applied in various fields such as customer service, virtual assistants, language translation services, and transcription services.

    • Problems Solved:**

This technology addresses the challenge of accurately interpreting spoken utterances by leveraging the capabilities of both automated assistants and third-party agents.

    • Benefits:**
  • Improved accuracy in interpreting spoken utterances
  • Enhanced collaboration between automated assistants and third-party agents
  • Efficient handling of user queries and requests
    • Commercial Applications:**

The technology can be utilized in customer service platforms, virtual assistant applications, language translation services, and transcription companies to streamline communication processes and enhance user experience.

    • Prior Art:**

Prior art related to this technology may include research on collaborative decision-making systems, automated assistants, and speech recognition technologies.

    • Frequently Updated Research:**

Researchers may be exploring advancements in natural language processing, machine learning algorithms for interpretation tasks, and the integration of automated assistants with third-party agents in various industries.

    • Questions about Collaborative Ranking of Interpretations of Spoken Utterances:**

1. How does this technology improve the accuracy of interpreting spoken utterances compared to traditional methods? 2. What are the potential challenges in implementing collaborative ranking of interpretations in real-time communication systems?


Original Abstract Submitted

implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. the automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. in some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation. in additional or alternative implementations, an independent third-party agent can obtain the first-party interpretation(s) and the third-party interpretation(s), select the given interpretation, and then transmit the given interpretation to the automated assistant and/or the given third-party agent.