Wearable Speech Context Processing via Modular Segmentation
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Solution Overview
Problem
Current software applications lack the ability to effectively process speech input in a wearable computing device by determining context based on historical data and databases to generate relevant actions or search requests, limiting their functionality in providing accurate and efficient outputs.
Innovation Solution
A wearable computing device receives speech input, converts it to text, and determines context using accessed documents and databases to evaluate actions, which can include commands or search requests, and generates appropriate outputs, such as communicating search requests to a search engine and providing results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If speech input processing is implemented in wearable computing devices using traditional software applications, then basic speech-to-text conversion can be achieved, but the system cannot effectively determine context based on historical data and databases to generate relevant actions or search requests
Solution Approach 1:
The patent segments the speech processing system into distinct functional modules: speech-to-text conversion module, context determination module (accessing historical documents and databases), action evaluation module, and output generation module. This segmentation allows each module to specialize in specific tasks, improving adaptability while managing complexity through modular design.
Solution Approach 2:
The system performs preliminary actions by pre-accessing and storing historical documents and database information before speech processing occurs. The context determination module prepares relevant historical data and database queries in advance, enabling faster and more accurate context-based speech processing when actual speech input is received.
2Measurement precision
If the wearable device integrates historical data and database information for context determination, then speech processing accuracy and relevance are improved, but the processing time and computational resources increase
Solution Approach 1:
The system applies partial action by selectively accessing only the most relevant portions of historical documents and databases based on the speech input context, rather than processing all available data. The action evaluation module evaluates and prioritizes which context elements to use, reducing processing time while maintaining accuracy.
Solution Approach 2:
The system implements feedback mechanisms where the action evaluation module continuously refines context determination based on the relevance and accuracy of retrieved historical data and database information. This feedback loop allows the system to learn from previous processing outcomes, improving accuracy over time while optimizing processing efficiency.
Data Source
AI summary
Methods and apparatus related to processing speech input at a wearable computing device are disclosed. Speech input can be received at the wearable computing device. Speech-related text corresponding to the speech input can be generated. A context can be determined based on database(s) and/or a history of accessed documents. An action can be determined based on an evaluation of at least a portion of the speech-related text and the context. The action can be a command or a search request. If the action is a command, then the wearable computing device can generate output for the command. If the action is a search request, then the wearable computing device can: communicate the search request to a search engine, receive search results from the search engine, and generate output based on the search results. The output can be provided using output component(s) of the wearable computing device.