Voice Recognition Call Handling with Dynamic Audio Control
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Solution Overview
Problem
Existing mobile phone call functions do not adequately accommodate situations where users cannot directly control their devices, such as when they are remotely located or engaged in tasks like driving, making it difficult to manage incoming calls effectively.
Innovation Solution
A method and user terminal that utilize voice recognition to receive call requests, determine whether the voice signal is a call reception or waiting command, and perform calls in handsfree mode, adjusting microphone sensitivity, speaker volume, and noise filtering based on call connection status to ensure clear communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition is used to enable handsfree calling, then ease of operation is improved, but device complexity increases due to additional voice processing components
Solution Approach 1:
The system uses voice recognition to automatically detect and execute call reception commands without requiring manual input. The voice processing unit captures voice signals, determines intent through pattern recognition, and automatically performs call operations, allowing the device to serve itself in response to user speech.
Solution Approach 2:
The patent replaces manual mechanical operations (button pressing, touchscreen interaction) with voice-based acoustic input. The voice processing unit substitutes for traditional input mechanisms, enabling users to control calling functions through speech rather than physical device manipulation.
2Productivity
If automatic call reception is implemented, then productivity is improved, but reliability decreases due to potential misinterpretation of voice commands
Solution Approach 1:
The system performs preliminary voice signal processing and pattern matching before executing call reception. The voice processing unit pre-analyzes captured voice signals against stored command patterns, validating the intent before triggering automatic call actions, thereby ensuring accurate interpretation.
Solution Approach 2:
The system incorporates feedback mechanisms where the voice processing unit continuously monitors and adjusts its recognition based on signal quality, noise levels, and pattern matching confidence. This feedback loop enhances the reliability of voice command interpretation by adapting to varying acoustic conditions.
3Ease of operation
If audio settings are automatically adjusted during calls, then ease of operation is improved, but device complexity increases due to dynamic control mechanisms
Solution Approach 1:
The control unit automatically adjusts audio settings including speaker volume, microphone sensitivity, and noise filter strength based on real-time call connection status without requiring manual user intervention. The system monitors call conditions and self-regulates audio parameters to optimize communication quality.
Solution Approach 2:
The audio control system dynamically adapts settings during calls based on varying call connection conditions. The control unit modifies speaker output volume, microphone gain, and noise filtering intensity in real-time according to the determined call status, creating a responsive and adaptive audio environment.
Data Source
AI summary
A method and a user terminal for performing a call using voice recognition are disclosed. The method and the user terminal include receiving a call request, obtaining a voice signal from a user in response to the call request, and determining whether the obtained voice signal is a call reception command to receive the call. The method and the user terminal perform the call in a handsfree mode based on the call request in response to the voice signal being the call reception command.