AI Interpretation Delay Estimation for Multi-Language Communication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In multi-party simultaneous interpretation situations, there is a need to provide timely information about interpretation progress to ensure smooth conversations without delays, as existing systems lack real-time feedback on interpretation times across multiple languages.
Innovation Solution
A method and apparatus using an AI model to estimate interpretation time, providing interpretation situation information to connected devices, and adjusting accumulated delay time based on actual interpretation times, ensuring timely feedback to speakers and listeners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time interpretation is provided for multiple languages, then communication efficiency is improved, but interpretation delay increases
Solution Approach 1:
The system performs preliminary estimation of interpretation time before actual interpretation occurs. The server calculates how long the interpretation process will take and uses this information to proactively manage the interpretation queue, allowing it to prepare and switch between languages more efficiently without causing delays
Solution Approach 2:
The system implements a feedback mechanism where interpretation situation information is continuously provided back to speakers and listeners. This feedback includes current interpretation status and estimated waiting times, allowing participants to adjust their behavior (e.g., speakers can pause briefly if interpretation is delayed) to maintain smooth communication
2Loss of information
If interpretation information is provided to all devices, then information completeness is improved, but network traffic increases
Solution Approach 1:
The system applies local quality by providing different information to different devices based on their specific needs and current state. Each device receives interpretation situation information tailored to its language pair and current interpretation queue position, rather than all devices receiving identical comprehensive data, thus reducing overall network traffic while maintaining information completeness where needed
Data Source
AI summary
A method is provided. The method includes receiving a speech input in a first language from a first device; obtaining, by using an artificial intelligence (AI) model, an estimated interpretation time that indicates a time expected to be required to interpret the speech input in the first language into a second language; transmitting, based on the estimated interpretation time, interpretation situation information to at least one of the first device or a second device; interpreting the speech input in the first language into the second language; and transmitting, to the second device a result of the interpreting of the speech input into the second language.


