18296217. TEXT AND IMAGE GENERATION FOR CREATION OF IMAGERY FROM AUDIBLE INPUT simplified abstract (Microsoft Technology Licensing, LLC)

TEXT AND IMAGE GENERATION FOR CREATION OF IMAGERY FROM AUDIBLE INPUT

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Alexander Ian Pfister Trzyna of Seattle WA (US)

TEXT AND IMAGE GENERATION FOR CREATION OF IMAGERY FROM AUDIBLE INPUT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18296217 titled 'TEXT AND IMAGE GENERATION FOR CREATION OF IMAGERY FROM AUDIBLE INPUT

Simplified Explanation

This patent application describes a system that uses artificial intelligence to generate images based on audio transcription in real-time.

• The system converts live audio into text using speech-to-text technology.
• A language model prompts for summarization of the text.
• A large language model provides a summary in response.
• Another language model generates a prompt for an image of the summary.
• A text-to-image model creates an image based on the prompt.
• The generated image is displayed on a screen continuously as the audio stream is received.

Key Features and Innovation

• Real-time image generation based on audio transcription.
• Integration of multiple language models for summarization and image generation.
• Seamless conversion of audio to text and text to images using AI technology.

Potential Applications

This technology can be used in:

• Live event coverage for creating visual summaries.
• Educational settings for visual aids during lectures.
• Content creation for social media and online platforms.

Problems Solved

• Enhances accessibility for individuals who prefer visual content.
• Streamlines the process of creating visual representations of audio content.
• Improves engagement and understanding through visual summaries.

Benefits

• Increases efficiency in generating visual content.
• Enhances user experience by providing visual aids.
• Facilitates multi-modal learning by combining audio and visual elements.

Commercial Applications

• "Real-time Visual Summarization System for Live Events"
• Potential markets include media production companies, educational institutions, and online content creators.

Prior Art

Further research can be conducted in the fields of AI image generation, speech-to-text technology, and multi-modal learning systems.

Frequently Updated Research

Stay updated on advancements in AI image generation, speech recognition, and natural language processing for potential improvements in the system.

Questions about AI Image Generation

How does the system ensure accuracy in converting audio to text and generating corresponding images?

The system utilizes advanced AI algorithms and language models to enhance accuracy and relevance in the conversion process.

What are the potential limitations of real-time image generation based on audio transcription?

Limitations may include processing speed, data accuracy, and the complexity of converting abstract concepts into visual representations.

Original Abstract Submitted

Systems and methods for using an artificial intelligence (AI) model for providing live image generation based on audio transcription. An image generation system and method convert a live audio stream, such as a conversation, speech, lecture, etc., into a live text transcript using speech-to-text conversion. A segment of the live text transcript is extracted and included in a first language model (LM) prompt. The first LM prompt includes a request for summarization of the transcript segment. The first LM prompt is provided to a large language model (LLM), and a summarization is received in response. A second LM prompt is generated including the summarization and a request for an image of the summarization. The second LM prompt is provided to a text-to-image model, and an image is received in response. The image is displayed on a display screen. Images continue to be generated and displayed as the live audio stream is received.