Google llc (20240135931). TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT simplified abstract

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TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT

Organization Name

google llc

Inventor(s)

Xavier Benavides Palos of Beverly Hills CA (US)

TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135931 titled 'TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT

Simplified Explanation

The abstract of the patent application describes a method that involves receiving audio input of speech, receiving visual input while receiving the audio input, generating a semantic description based on the visual input, and presenting a transcription of the speech based on the audio input and the semantic description.

  • Receiving audio input of speech
  • Receiving visual input simultaneously
  • Generating a semantic description based on the visual input
  • Presenting a transcription of the speech based on the audio input and semantic description

Potential Applications

This technology could be applied in various fields such as:

  • Speech-to-text transcription services
  • Language translation tools
  • Assistive technologies for individuals with hearing impairments

Problems Solved

This technology helps in:

  • Improving accuracy of speech recognition systems
  • Enhancing communication for individuals with hearing disabilities
  • Streamlining transcription processes

Benefits

The benefits of this technology include:

  • Increased efficiency in transcribing speech
  • Improved accessibility for individuals with hearing impairments
  • Enhanced user experience in communication tools

Potential Commercial Applications

A potential commercial application for this technology could be:

  • Developing advanced transcription software for businesses and organizations

Possible Prior Art

One possible prior art related to this technology is the use of speech recognition software combined with image processing techniques to improve transcription accuracy.

Unanswered Questions

How does this technology handle different accents and languages?

This article does not address how the method adapts to various accents and languages during the transcription process. Different accents and languages may pose challenges in accurately transcribing speech.

What is the level of accuracy achieved by this method compared to existing transcription technologies?

The article does not provide information on the accuracy rate of the transcription produced by this method. Understanding the level of accuracy achieved is crucial in evaluating the effectiveness of this technology.


Original Abstract Submitted

a method can include receiving audio input of speech, receiving visual input while receiving the audio input, generating a semantic description based on the visual input, and presenting a transcription of the speech based on the audio input and the semantic description.