Voice-Interactive Smart Device Movement for Far-Field Recognition
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Solution Overview
Problem
Conventional smart devices struggle with effectively recognizing voice signals from users at a distance, leading to poor user experience due to poor far-field voice recognition.
Innovation Solution
The method involves monitoring and collecting voice signals in real-time, conducting voice recognition, and if recognition is poor, the smart device moves closer to the user to facilitate near-field recognition, optimizing the interaction experience by reducing distance and improving recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the smart device maintains a fixed position, then the device structure is simple and easy to operate, but the voice recognition accuracy deteriorates when the user is at a distance
Solution Approach 1:
The smart device transitions from a fixed position to a movable position, allowing it to dynamically adjust its location based on voice recognition needs. The device can move closer to the user when far-field recognition fails, transforming the static structure into a dynamic one that adapts to interaction requirements.
Solution Approach 2:
The control unit acts as an intermediary that receives voice signals, determines recognition quality, and decides whether movement is needed. This intermediary component coordinates between the voice recognition system and the movement mechanism, enabling the device to autonomously adjust its position to optimize recognition accuracy.
2Measurement precision
If the smart device moves closer to the user, then the voice recognition accuracy improves, but the device requires additional movement control mechanisms
Solution Approach 1:
The smart device performs self-adjustment by autonomously deciding when to move closer to the user based on voice recognition feedback. The control unit automatically determines whether movement is needed and executes the movement without requiring user intervention, making the device self-optimizing for recognition accuracy.
Solution Approach 2:
The system implements a feedback loop where the control unit continuously monitors voice recognition results and uses this feedback to determine whether the device should move closer to the user. This closed-loop control ensures the device automatically adjusts its position to maintain optimal recognition accuracy.
3Use of energy by moving object
If the smart device waits for wake-up word before voice interaction, then the device consumes less energy in standby, but the interaction response time increases
Solution Approach 1:
The control unit continuously monitors voice signals in real-time before the formal wake-up word is spoken. This preliminary monitoring allows the device to detect the user's intent earlier and prepare for interaction, reducing the effective response time while maintaining low standby energy consumption through selective activation of full processing only when needed.
Data Source
AI summary
A method and apparatus for voice interaction control of a smart device, wherein the method comprises: monitoring and collecting in real time a voice signal emitted by a user of the smart device (S11); conducting voice recognition to the collected voice signal (S12); and according to a result of the voice recognition to the voice signal by the smart device, wakening a corresponding function of the smart device and judging whether to control the smart device to move, and if yes, acquiring a position of the user and controlling the smart device to move toward the user, to shorten a distance between the smart device and the user, and then recognizing a voice signal that the user again emits; and if not, directly according to the result of the voice recognition controlling the smart device to execute a corresponding operation (S13).