Voice Recognition Semantic Tag Decoupling
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Solution Overview
Problem
Current embedded voice recognition systems face limitations in extendibility due to strict text-based comparisons and complex modifications required for changes in syntax rules and language structures, leading to reduced flexibility and increased complexity in voice control operations.
Innovation Solution
The implementation of semantic tags in syntax documents allows for the separation of instruction and control intention extraction, enabling changes in syntax rules without affecting semantic extraction, and supporting multiple languages by decoupling semantic information from specific text instructions, thereby enhancing extendibility and configurability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If strict text-based comparison is used for voice recognition control, then recognition accuracy within defined syntax scope is improved, but extendibility and flexibility of the system deteriorates
Solution Approach 1:
The patent segments the voice recognition system into two independent parts: syntax rule matching (for accuracy) and semantic tag extraction (for extendibility). The semantic tag layer is separated from the syntax structure, allowing each to evolve independently without affecting the other.
Solution Approach 2:
The patent introduces semantic tags as an intermediary layer between voice recognition results and control execution. These tags serve as a bridge that decouples the strict syntax matching from the control logic, enabling flexible adaptation without modifying the core recognition system.
2Manufacturing precision
If syntax rules are strictly defined with specific slot structures, then recognition precision within the defined scope is improved, but system complexity increases when modifications are needed
Solution Approach 1:
The patent divides the system into independent modules: syntax rule definition, semantic tag extraction, and control execution. This segmentation allows precision in each module while reducing overall system complexity through modular design.
Solution Approach 2:
The patent creates a universal semantic tag system that can handle multiple languages and syntax structures through a common interface. This universal layer reduces the need for separate control logic for each syntax variation, thereby reducing system complexity.
3Adaptability or versatility
If multiple languages are supported with separate syntax definitions, then language coverage is improved, but maintenance difficulty and complexity increase
Solution Approach 1:
The patent implements a universal semantic tag system that works across multiple languages through a common extraction layer. This allows the system to support many languages while maintaining a single, unified maintenance interface for the control logic.
Solution Approach 2:
The patent uses semantic tags as reusable templates that can be copied and applied across different languages and syntax structures. Once a semantic tag is defined, it can be universally applied without requiring separate maintenance for each language instance.
Data Source
AI summary
Disclosed are a smart control implementation method, a smart control implementation device, and a computer readable storage medium. The smart control implementation method includes: configuring pre-determined syntax information which is including sentence pattern rules, an instruction set, and semantic tags corresponding to the sentence pattern rules, wherein the semantic tags indicating semantics of a corresponding sentence pattern rule thereof (201); acquiring control information (202); identifying the control information on the basis of the pre-determined syntax information, and acquiring semantic tags corresponding to a matched sentence pattern rule of the control information (203); determining a control intention according to the semantic tags corresponding to the matched sentence pattern rule of the control information (204); and executing a control action according to the control intention (205).