Spotify AB (20240265925). Systems and Methods for Language Identification in Audio Content simplified abstract

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Systems and Methods for Language Identification in Audio Content

Organization Name

Spotify AB

Inventor(s)

Xingran Zhu of Stockholm (SE)

Md Iftekhar Tanveer of Revere MA (US)

Yang Janet Liu of Washington DC (US)

Rosemary Ellen Jones of Cambridge MA (US)

Oluseye Ojumu of Brooklyn NY (US)

Systems and Methods for Language Identification in Audio Content - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240265925 titled 'Systems and Methods for Language Identification in Audio Content

    • Simplified Explanation:**

The patent application describes methods and devices for identifying the language in audio content by generating a speaker embedding and using a language identification model.

    • Key Features and Innovation:**
  • Obtaining audio content and generating a speaker embedding.
  • Determining the language of the audio content using a language identification model.
  • Innovative method for language identification in audio content.
    • Potential Applications:**

This technology can be used in various fields such as:

  • Speech recognition systems.
  • Language translation applications.
  • Content filtering based on language.
    • Problems Solved:**
  • Accurately identifying the language in audio content.
  • Enhancing the performance of language-related applications.
  • Streamlining language identification processes.
    • Benefits:**
  • Improved accuracy in language identification.
  • Enhanced user experience in language-related applications.
  • Increased efficiency in content filtering based on language.
    • Commercial Applications:**

Title: Language Identification Technology for Enhanced Speech Recognition This technology can be utilized in:

  • Speech-to-text software for transcription services.
  • Multilingual customer support systems.
  • Language-specific content recommendation platforms.
    • Questions about Language Identification Technology:**

1. How does this technology improve the accuracy of language identification in audio content? 2. What are the potential challenges in implementing this technology in real-world applications?

    • Frequently Updated Research:**

Stay updated on the latest advancements in language identification technology by following research publications in the field of speech processing and natural language processing.


Original Abstract Submitted

the various implementations described herein include methods and devices for identifying a language in audio content. in one aspect, a method includes obtaining audio content and generating a speaker embedding from the audio content. the method further includes determining, via a language identification model, a language of the audio content based on the speaker embedding.