User-Preference Communication Format Conversion for Audio and Text
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Solution Overview
Problem
Existing communication systems fail to automatically adapt the form of a communication from a first user device to a second user device based on the preferences of the second user, requiring additional applications and user interaction for conversion, especially in bandwidth-constrained environments.
Innovation Solution
A system that allows a first user device to transmit a communication in a first form, which is then converted to a second form based on user preferences stored on the second user device, a server, or both, utilizing artificial intelligence for real-time conversion between audio and text formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If communication conversion is performed manually using additional applications, then conversion functionality is achieved, but device complexity and user interaction requirements increase
Solution Approach 1:
The patent combines multiple communication applications (messaging, voice calls, video calls) into a single unified application interface. The system dynamically converts communications between different formats (text, audio, video) within one application, eliminating the need for users to switch between multiple specialized applications while maintaining full conversion functionality.
Solution Approach 2:
The unified communication application performs multiple functions including receiving communications in various formats, converting between text/audio/video formats, and displaying all communications through a single interface. This multi-functional approach replaces the need for separate dedicated applications for each communication type.
2Ease of operation
If real-time communication conversion is implemented, then user preference adaptation is improved, but processing time and system resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing communications and preparing multiple format versions before user interaction. When a communication is received, the system proactively converts it to the user's preferred format and other relevant formats in advance, so that the user experiences immediate access without perceiving conversion delays.
Solution Approach 2:
The patent replaces traditional mechanical conversion processes with artificial intelligence and machine learning models. These AI systems perform real-time conversion between text, audio, and video formats with significantly reduced processing time compared to conventional methods, enabling automatic preference adaptation without noticeable delays.
3Adaptability or versatility
If communications are transmitted in original form without conversion, then bandwidth usage is minimized, but user preference compatibility decreases
Solution Approach 1:
The system applies local quality by converting communications only to the extent necessary for each specific user's preferences. Instead of universally converting all communications to all formats, the system selectively converts communications based on individual user settings and device capabilities, optimizing bandwidth usage while maintaining preference compatibility.
Solution Approach 2:
The patent dynamically changes communication parameters (format, resolution, compression level) based on user preferences and network conditions. The system adjusts conversion parameters in real-time to balance quality and bandwidth consumption, transmitting communications in the most efficient format that still meets user preferences.
Data Source
AI summary
Embodiments of the present disclosure are directed to systems and methods for converting communications from one form to another based on a set of user preferences. A user device may receive a communication in a first form, and based on a set of user preferences associated with the user device, the communication in the first form may be converted to a second form. For example, a first user device may communicate a text communication to a second user device. Said text communication may then be converted into an audio communication based on the user preference. By way of another example, a first user device may communicate an audio communication to a second user device. Said audio communication may then be converted into a text communication based on the user preferences.