GOOGLE LLC (20240233729). TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT simplified abstract

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 20240233729 titled 'TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT

Simplified Explanation: This patent application describes a method that involves receiving audio input of speech, receiving visual input simultaneously, generating a semantic description based on the visual input, and presenting a transcription of the speech based on the audio input and semantic description.

Key Features and Innovation:

• Simultaneous reception of audio and visual input
• Generation of semantic description based on visual input
• Presentation of speech transcription based on audio input and semantic description

Potential Applications: This technology could be used in various fields such as:

• Speech recognition software
• Video conferencing applications
• Language translation services

Problems Solved:

• Enhances accuracy of speech transcription
• Improves understanding of context in speech recognition
• Facilitates better communication in video conferencing

Benefits:

• Increased efficiency in transcribing speech
• Enhanced user experience in video conferencing
• Improved accuracy in language translation services

Commercial Applications: Potential commercial uses include:

• Integration into existing speech recognition software
• Development of new video conferencing platforms
• Implementation in language translation devices

Questions about the Technology: 1. How does the method ensure accurate transcription of speech based on visual input? 2. What are the potential limitations of this technology in real-world applications?

Frequently Updated Research: Stay updated on advancements in speech recognition technology and applications in video conferencing for potential improvements in this method.

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.