Sign Language Translation System Dynamic Process Selection
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Solution Overview
Problem
Current communication systems lack efficient methods for translating sign language into language data and vice versa, especially in real-time communication sessions, which hinders effective communication between sign language users and non-sign language users.
Innovation Solution
A system that automatically selects between different translation processes based on features of a communication session to translate sign language and language data, using machine learning models to generate video with sign language content from audio data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single translation process is used for all communication sessions, then the system is simple to implement, but it cannot achieve optimal translation accuracy for different communication scenarios
Solution Approach 1:
The system dynamically selects between different translation processes (first translation process using sign language recognition and second translation process using other methods) based on communication session features. This dynamic adaptation allows the system to optimize translation accuracy for different scenarios without requiring a completely complex redesign, as the selection logic is driven by observable session characteristics.
Solution Approach 2:
The system changes operational parameters by switching between different translation processes based on detected communication session features. When specific features are detected, the system transitions from one translation approach to another, effectively adjusting the translation methodology to match the communication context and improve overall accuracy.
2Measurement precision
If multiple translation processes are available for different communication scenarios, then translation accuracy improves, but the system complexity increases
Solution Approach 1:
The system employs dynamic selection among multiple translation processes based on real-time analysis of communication session features. This allows the system to maintain high translation accuracy across diverse scenarios while managing complexity through automated, feature-driven process selection rather than requiring manual configuration for each scenario.
Solution Approach 2:
The system introduces an intermediary selection mechanism that automatically chooses between the first translation process (sign language recognition) and the second translation process based on communication features. This intermediary layer manages the complexity of having multiple translation processes by providing a unified decision-making interface that selects the appropriate process without exposing the underlying complexity to users.
3Productivity
If automatic selection between translation processes is implemented, then communication efficiency improves, but processing time may increase due to feature analysis
Solution Approach 1:
The system performs preliminary analysis of communication session features at the beginning of each session to determine which translation process to use. By making this selection decision upfront based on pre-analyzed features, the system avoids repeated analysis during the communication, thereby improving overall efficiency while minimizing the time penalty of the initial feature analysis.
Solution Approach 2:
The system performs only the necessary feature analysis required to distinguish between communication scenarios that require different translation processes. Rather than analyzing all possible features in depth, the system focuses on the key discriminating features, reducing processing time while still achieving accurate translation process selection.
Data Source
AI summary
A method may include obtaining, at a system, audio during a communication session that includes a first device and a second device. In these and other embodiments, the audio may originate at the second device. The method may further include selecting, automatically and independently by the system based on one or more features of the communication session, a first translation process instead of a second translation process to translate between sign language and language data during the communication session. The method may also include using the selected one of the first translation process and the second translation process to generate a video that includes sign language content based on the audio.