Semantic Unit Set Correction via Phonetic Reference Matching
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Solution Overview
Problem
Existing voice recognition and text input systems face challenges in deriving high-quality semantic unit sets due to variations in locution habits, indistinct pronunciations, regional dialects, and environmental noise, leading to inaccuracies in voice recognition and text input results.
Innovation Solution
A method that improves semantic unit sets using phonetic sounds or text inputs, allowing for correction of voice recognition results and typo corrections in text inputs, by receiving improvement phonetic sounds or text, specifying matched semantic units, and replacing them within captured sets to enhance quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voice recognition techniques are used to obtain semantic unit sets, then the system can process spoken language input, but the quality and accuracy of the semantic unit set is limited due to locution habits, indistinct pronunciations, regional dialects, and environmental noise
Solution Approach 1:
The patent applies preliminary action by providing reference semantic unit sets containing correct pronunciations and meanings before the voice recognition process. These reference sets serve as pre-established standards that the recognized semantic units are compared against, allowing correction of inaccuracies caused by environmental noise and pronunciation variations.
Solution Approach 2:
The patent implements feedback by comparing the recognized semantic units with reference semantic unit sets and using the comparison results to correct inaccuracies. The system provides feedback loops where the output of voice recognition is evaluated against known correct references, and corrections are applied based on this feedback to improve accuracy.
2Manufacturing precision
If improvement phonetic sounds are used to correct semantic unit sets, then the quality and accuracy of the semantic unit set improves, but the complexity of the processing system increases
Solution Approach 1:
The patent applies copying by creating reference semantic unit sets that contain correct pronunciations and meanings. These reference copies serve as templates for comparing and correcting the recognized semantic units, improving quality without requiring complex processing by using straightforward comparison with pre-established correct references.
Data Source
AI summary
A method, system, and a computer-readable recording medium for improving a set of at least one semantic unit are provided. According to the present invention, a set of at least one semantic unit may be improved by using a phonetic sound or text.