Google llc (20240233729). TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT simplified abstract
Contents
TRANSCRIPTION BASED ON SPEECH AND VISUAL INPUT
Organization Name
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 transcription based on audio input and semantic description
Potential Applications: This technology could be used in various fields such as:
- Speech recognition software
- Language translation services
- Accessibility tools for the hearing impaired
Problems Solved: This technology addresses issues related to:
- Improving accuracy of speech transcription
- Enhancing understanding of spoken language in context
Benefits: The benefits of this technology include:
- Improved transcription quality
- Enhanced user experience for speech-related applications
Commercial Applications: Potential commercial applications include:
- Integration into virtual assistants
- Development of transcription services for meetings and conferences
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 noisy environments?
Frequently Updated Research: Stay updated on advancements in speech recognition technology and semantic analysis to enhance the capabilities of 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.
