Real-time Utterance Intention Detection in Electronic Devices
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Solution Overview
Problem
Conventional virtual personal assistants respond slowly due to the need for multiple voice recognition iterations after a user's utterance is completed, making them less user-friendly compared to other interaction methods.
Innovation Solution
An electronic device equipped with a microphone and processor that recognizes user intentions in real-time during utterance, providing response information based on the detected intention and updating it as additional words are spoken, allowing for immediate action on the most reliable intention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional virtual personal assistant waits for complete utterance before voice recognition, then recognition accuracy is improved, but response speed deteriorates
Solution Approach 1:
The system performs preliminary voice recognition processing on partial utterances before the user completes their speech. The processor continuously analyzes incoming voice data and identifies user intentions during the utterance, rather than waiting for completion. This preliminary action enables the system to prepare and execute operations faster while maintaining accuracy through confidence threshold validation.
Solution Approach 2:
The system dynamically adjusts the recognition process by continuously evaluating confidence levels of detected intentions during utterance. When confidence exceeds a threshold, the system can proceed with operation execution. This dynamic approach allows flexible response timing based on actual recognition certainty rather than rigid wait-for-completion or immediate-response rules.
2Reliability
If multiple voice recognition iterations are performed, then operation execution accuracy is improved, but response time increases
Solution Approach 1:
The system implements feedback through confidence threshold evaluation during the recognition process. The processor continuously assesses the confidence level of detected user intentions and compares it against a predetermined threshold. This feedback mechanism allows the system to determine when sufficient accuracy is achieved, eliminating the need for fixed multiple iterations and reducing unnecessary waiting time.
Solution Approach 2:
The system performs recognition processing on partial utterances rather than waiting for complete speech input. By processing what is available so far and evaluating confidence levels, the system can execute operations based on partial information when confidence is sufficient, rather than requiring full utterance completion. This partial action approach reduces response time while maintaining reliability through confidence validation.
Data Source
AI summary
An electronic device, a method for obtaining an utterance intention of a user thereof, and a non-transitory computer-readable recording medium are provided. An electronic device according to an embodiment of the present disclosure may comprise: a microphone for receiving a user voice uttered by a user; and a processor for obtaining an utterance intention of a user on the basis of at least one word included in a user voice while the user voice is being input, providing response information corresponding to the obtained utterance intention, and updating the response information while providing the response information, on the basis of an additional word uttered after the at least one word is input.