Voice Interaction Microprocessor Segmentation for Power Reduction
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Solution Overview
Problem
Current voice interaction systems require users to wake up voice interaction software using specific keywords, leading to unfriendly and power-intensive interactions, as the software often remains in an active state for extended periods.
Innovation Solution
A voice interaction processing method and apparatus that utilizes a microprocessor to collect voice and image data, determining the user's interaction state without keywords, enabling image and voice collectors only when necessary, thereby reducing power consumption and enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If voice interaction software remains in an active state for extended periods to enable immediate interaction, then interaction responsiveness is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary actions by keeping the voice collector active and the microprocessor in a low-power standby state, ready to immediately process voice data when the user speaks, while the main application processor remains inactive. This allows the system to be prepared for interaction without maintaining full operational power consumption.
Solution Approach 2:
The processing system is segmented into two parts: a always-on microprocessor that handles basic voice detection and initial processing with low power consumption, and a main application processor that is activated only when voice interaction is detected. This segmentation allows immediate response while minimizing overall power usage.
2Ease of operation
If voice interaction software is kept running to eliminate wake-up keywords and achieve natural interaction, then ease of operation is improved, but power consumption increases
Solution Approach 1:
The microprocessor performs preliminary voice analysis to detect interaction intent before activating the main application processor. This preliminary action enables natural interaction without wake-up keywords while avoiding continuous full-power operation, as the main processor is activated only when voice interaction is detected.
3Ease of operation
If the microprocessor continuously processes voice data to enable keyword-free interaction, then interaction naturalness is improved, but power consumption increases
Solution Approach 1:
Processing is segmented between a low-power microprocessor that continuously monitors for voice interaction intent and a main application processor that performs full voice analysis only when interaction is detected. This segmentation enables natural, keyword-free interaction while minimizing power consumption through selective activation.
Solution Approach 2:
The microprocessor performs partial voice processing - enough to detect interaction intent and trigger the main processor, but not full analysis. This partial action enables natural interaction detection while avoiding the power consumption of continuous full processing.
Data Source
AI summary
This application provides a voice interaction processing method and apparatus, to achieve a friendly and natural voice interaction effect and reduce power consumption. In the method, a microprocessor enables an image collector only when determining, based on voice data collected by a voice collector, that a first user is a target user; then the image collector collects user image data and transmits the user image data to the microprocessor; and the microprocessor sends a wakeup instruction to an application processor only when determining, based on the user image data, that the target user is in a voice interaction state. Based on the foregoing method, nus-enabling of the image collector and the application processor is avoided to some extent, and power consumption is reduced.