Spotify ab (20240273137). Systems and Methods for Searching Audio Content simplified abstract

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Systems and Methods for Searching Audio Content

Organization Name

spotify ab

Inventor(s)

Xingran Zhu of New York NY (US)

Diego Fernando Lorenzo Casabuena Gonzalez of Brooklyn NY (US)

Ann Clifton of Lopez Island WA (US)

Daren Keith Gill of New York NY (US)

Systems and Methods for Searching Audio Content - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240273137 titled 'Systems and Methods for Searching Audio Content

The abstract describes methods and devices for searching audio content, including obtaining a query string, selecting a subset of results, and presenting them to a user.

  • Obtaining a query string for audio content
  • Obtaining a plurality of audio content results corresponding to the query string
  • Selecting a subset of results from the plurality of audio content results
  • Selecting respective search results from a plurality of sub-topic clusters
  • Sequencing the subset of audio content results
  • Presenting the sequenced subset of audio content results to a user
      1. Potential Applications:

This technology can be applied in music streaming services, podcast platforms, audio search engines, and voice-controlled devices.

      1. Problems Solved:

This technology addresses the challenge of efficiently searching and organizing large amounts of audio content to provide relevant results to users.

      1. Benefits:

- Improved search accuracy and relevance for audio content - Enhanced user experience in accessing and discovering audio content - Efficient organization and presentation of search results

      1. Commercial Applications:

Title: "Enhanced Audio Content Search Technology for Media Platforms" This technology can be commercially used in music streaming services, podcast platforms, and audio search engines to improve user engagement, increase content discoverability, and enhance overall platform performance.

      1. Prior Art:

Researchers can explore prior art related to audio content search algorithms, clustering techniques, and user interface designs in the field of information retrieval and multimedia systems.

      1. Frequently Updated Research:

Researchers are continuously exploring advancements in audio content search algorithms, natural language processing techniques, and user behavior analysis to enhance the efficiency and accuracy of audio search technologies.

        1. Questions about Audio Content Search Technology:

1. How does this technology improve the user experience in accessing audio content?

  - This technology enhances the search accuracy and relevance of audio content results, making it easier for users to find and discover new content.

2. What are the potential commercial applications of this technology in the media industry?

  - This technology can be applied in music streaming services, podcast platforms, and audio search engines to improve user engagement and content discoverability.


Original Abstract Submitted

the various implementations described herein include methods and devices for searching of audio content. in one aspect, a method includes obtaining a query string for audio content and obtaining a plurality of audio content results corresponding to the query string. the method further includes selecting a subset of results from the plurality of audio content results, including selecting respective search results from a plurality of sub-topic clusters, and sequencing the subset of audio content results. the method also includes causing the sequenced subset of audio content results to be presented to a user.