Voice Recognition Unit Character Constraint Logic
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Solution Overview
Problem
Voice recognition accuracy is compromised when users switch from manual character entry to voice recognition mid-process, as existing systems fail to effectively utilize previously entered characters to enhance recognition.
Innovation Solution
An information processing device and method that receive both character and voice inputs, using a voice recognition dictionary to output voice recognition results starting with the entered characters, and if no match is found, output results independently of the characters or excluding the last character, to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system performs full voice recognition without considering previously entered characters, then it can recognize any voice input, but voice recognition accuracy decreases when users switch from manual entry to voice recognition mid-process
Solution Approach 1:
The system performs preliminary action by storing characters entered through the character input unit before voice recognition occurs. When voice input is received, the system utilizes these pre-stored characters to narrow down the search space in the voice recognition dictionary, thereby improving recognition accuracy without limiting the system's ability to handle various input scenarios.
2Measurement precision
If the system uses all entered characters for voice recognition filtering, then recognition accuracy improves, but the system becomes rigid when no exact match is found
Solution Approach 1:
The system applies partial action by using the characters entered through the character input unit to filter voice recognition results. When no exact match is found using all characters, the system gracefully degrades by still providing voice recognition results without the character constraint, ensuring operational flexibility while maximizing precision when possible.
3Measurement precision
If the system restricts voice recognition to only words beginning with entered characters, then accuracy improves for matched cases, but the system loses ability to provide fallback options
Solution Approach 1:
The system implements feedback by first attempting voice recognition with the character constraint applied, then evaluating whether valid results are obtained. Based on this feedback, the system adapts its behavior - providing constrained results when matches exist, and falling back to unconstrained voice recognition when no matches are found, thus maintaining both accuracy and adaptability.
Data Source
AI summary
An information processing device includes: a first reception unit configured to receive an input of one or more characters; a second reception unit configured to receive an input of voice; and a voice recognition unit configured to recognize the voice, and output a voice recognition result beginning with the one or more characters entered into the first reception unit when the second reception unit receives the input of voice with the input of the one or more characters received by the first reception unit.