Audio-Based Language Identification for Live Interpretation
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Solution Overview
Problem
Conventional on-demand language interpretation systems are cumbersome and time-consuming, requiring users to navigate through multiple menus to select languages for interpretation, which is inefficient in time-sensitive situations.
Innovation Solution
A processor-based system generates an image and audio user interface (IAUI) that automatically identifies the language spoken by a user through audio analysis, eliminating the need for menu navigation by routing the communication directly to a corresponding language interpreter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional menu-based language selection is used, then users can select languages for interpretation, but the process becomes time-consuming and cumbersome
Solution Approach 1:
The system performs automatic language identification through audio analysis without requiring user interaction for language selection. The computing device autonomously captures audio data, analyzes it to identify the spoken language, and establishes the interpretation session, eliminating the need for users to manually navigate menus and select languages.
Solution Approach 2:
The patent replaces the mechanical menu-navigation system with an automated audio analysis system. Instead of requiring users to interact with visual menus through touch or voice commands, the system uses audio processing and language identification algorithms to automatically determine the language and initiate the interpretation session.
2Adaptability or versatility
If manual language selection through menus is required, then language interpretation can be established, but users with difficulty navigating menus cannot effectively use the system
Solution Approach 1:
The system serves users who cannot navigate menus by automatically identifying their language through audio capture. Users simply speak or the system captures ambient audio, and the language identification engine processes it without requiring any menu interaction, making the system accessible to users with physical or cognitive limitations.
Solution Approach 2:
The system serves multiple user needs through a single automated interface. It works for users who can navigate menus, users who cannot, users in time-sensitive situations, and users with language difficulties. The audio-based language identification provides a universal access point that adapts to various user capabilities and situations.
Data Source
AI summary
A configuration is implemented to generate, with a processor, an image and audio user interface which has a language identification indicium that is image-based. Further, the configuration sends, with the processor, the image and audio user interface to a computing device so that the image and audio user interface is displayed to a user. Moreover, the configuration receives, with the processor, audio data captured by the computing device from a user positioned at the computing device upon activation of the language identification indicium. Additionally, the configuration performs, with the processor, an audio analysis on the captured audio data to identify a language spoken by the user. Finally, the configuration establishes, with the processor, a language interpretation session between the computing device and a communication device associated with a language interpreter based on the identified language.