GOOGLE LLC (20240256599). RESPONDING TO QUERIES WITH VOICE RECORDINGS simplified abstract

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RESPONDING TO QUERIES WITH VOICE RECORDINGS

Organization Name

GOOGLE LLC

Inventor(s)

Sowmya Subramanian of San Francisco CA (US)

Benton Davis Deloache of Mountain View CA (US)

Lauren Clark of San Francisco CA (US)

Rami Banna of Menlo Park CA (US)

Igor Benko of Sunnyvale CA (US)

RESPONDING TO QUERIES WITH VOICE RECORDINGS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256599 titled 'RESPONDING TO QUERIES WITH VOICE RECORDINGS

Simplified Explanation: The patent application describes a system for providing responsive audio recordings to user queries, where the recordings are prerecorded by human beings rather than generated using speech synthesis processing.

Key Features and Innovation:

  • User queries are used to search a corpus of voice recordings.
  • Candidate responsive voice recordings are identified and ranked based on credibility measures of the speakers.
  • The ranked recordings are provided for presentation to the user on a computing device.

Potential Applications: This technology could be used in customer service applications, educational platforms, and interactive voice response systems.

Problems Solved: This technology addresses the need for more authentic and credible audio responses to user queries, as opposed to synthetic speech.

Benefits:

  • Enhanced user experience with more human-like responses.
  • Increased credibility and trust in the information provided.
  • Improved engagement and interaction with the system.

Commercial Applications: The technology could be utilized in customer service call centers, educational software, and virtual assistants, potentially impacting the market for voice recognition and response systems.

Prior Art: Prior art related to this technology may include research on natural language processing, voice recognition, and human-computer interaction.

Frequently Updated Research: Researchers may be exploring ways to improve the accuracy and efficiency of searching and ranking voice recordings for responsive audio systems.

Questions about the Technology: 1. How does this technology differ from traditional speech synthesis systems? 2. What are the potential privacy implications of using prerecorded human voice recordings in this system?


Original Abstract Submitted

implementations are provided for providing responsive audio recordings to user queries that are prerecorded by human beings, rather than generated automatically using speech synthesis processing. in various implementations, a query provided by a user at an input component of a computing device may be used to search a corpus of voice recordings. from the searching, a plurality of candidate responsive voice recordings may be identified and ranked based on measures of credibility associated with speakers that created the candidate responsive voice recordings. based on the ranking, one or more of the plurality of candidate responsive voice recordings may be provided for presentation to the user at an output component of the same computing device or a different computing device.