Disambiguation Engine for Interactive Voice Grammar Generation
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Solution Overview
Problem
Current grammar generation processes in interactive voice response systems are time-consuming and complex, particularly due to the presence of homophones, and lack a comprehensive disambiguation system to resolve ambiguities, leading to inefficient configuration and recognition issues.
Innovation Solution
A method and system that incorporates a disambiguation engine to identify and resolve ambiguities in data records, generating complex grammars with homonym detection and optimization feedback, allowing for interactive user application configuration and selection of appropriate grammars based on user responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic grammar generation is used for large databases, then grammar generation speed is improved, but manufacturing precision deteriorates due to simplicity and domain-specific limitations
Solution Approach 1:
The grammar generation process is divided into multiple stages: initial automatic generation, disambiguation analysis, and iterative refinement. Each stage handles specific aspects of grammar creation, allowing both speed and precision to be optimized at different levels of the process.
Solution Approach 2:
The system implements feedback loops where recognition results are analyzed to identify ambiguities and errors. This feedback drives iterative refinement of the grammar, continuously improving accuracy while maintaining efficient generation processes through automated analysis.
2Manufacturing precision
If empirical tuning is performed for massive databases, then manufacturing precision is improved, but loss of time increases due to repetitive iterative steps
Solution Approach 1:
The disambiguation system automatically analyzes recognition results and identifies ambiguities without requiring manual intervention. The system performs self-diagnosis and self-correction through automated feedback loops, eliminating the need for time-consuming manual tuning while maintaining high accuracy.
Solution Approach 2:
The system performs preliminary disambiguation analysis during the grammar generation phase, identifying potential ambiguities before they cause recognition errors. This proactive approach prevents the need for extensive post-generation tuning by addressing issues early in the process.
3Reliability
If disambiguation systems are implemented to resolve homophone ambiguities, then reliability is improved, but device complexity increases
Solution Approach 1:
The disambiguation module serves as an intermediary between the speech recognition engine and the grammar system. It analyzes recognition results, identifies ambiguities, and generates targeted refinements, thereby improving reliability without requiring fundamental changes to the core recognition or grammar systems.
Solution Approach 2:
The disambiguation functionality is extracted as a separate, modular component that can be added to existing grammar systems. This extraction allows the core systems to remain simple while the disambiguation module handles the complexity of ambiguity resolution, improving reliability without overly complicating the overall system.
4Manufacturing precision
If comprehensive data processing is performed including normalization and homophone identification, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
Multiple data processing functions including normalization, homophone identification, and disambiguation are merged into an integrated processing pipeline. This consolidation improves grammar quality through comprehensive data processing while reducing overall system complexity by eliminating the need for separate, coordinated processing systems.
Data Source
AI summary
A method and system for addressing disambiguation issues in interactive applications by creating a disambiguation system for generating complex grammars that includes homonym detection and grouping, and provides optimization feedback that eliminates time-consuming and repetitive iterative steps during the grammar generation portion of the interactive application configuration.