Motion Sensor Activated Noise Reduction for Voice Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Voice activated devices face challenges in noise suppression after changing location or orientation, leading to delays in accurately distinguishing speech from environmental noise, as their noise reduction components may not adapt quickly enough to new positions or orientations.
Innovation Solution
Incorporating motion sensors to detect movement and activate the noise reduction unit before speech is detected, allowing it to adapt to environmental noise at the new location or orientation, ensuring effective noise suppression with minimal delay when speech is present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the noise reduction unit remains in idle mode to conserve power, then power consumption is reduced, but the device cannot quickly adapt to environmental noise after movement
Solution Approach 1:
The motion sensor detects movement and activates the noise reduction unit in advance before speech is detected. This preliminary action ensures the noise reduction unit is already adapted to the new environmental noise profile when speech occurs, eliminating adaptation delays while maintaining power efficiency by keeping the unit inactive during idle periods.
2Speed
If the noise reduction unit is activated immediately upon speech detection, then noise suppression responsiveness is improved, but adaptation delay occurs after device movement
Solution Approach 1:
The system uses motion detection to activate the noise reduction unit before speech occurs. This preliminary activation allows the unit to complete its adaptation to the current environmental noise profile in advance, so when speech is detected, the unit is already optimized for noise suppression with minimal delay.
Solution Approach 2:
The motion sensor provides feedback about device movement to the noise reduction unit, enabling it to adjust its noise suppression parameters in real-time based on the actual movement detected, thereby reducing adaptation delay and improving responsiveness.
3Measurement precision
If the noise reduction unit continuously adapts to environmental noise, then noise suppression accuracy is improved, but processing time and power consumption increase
Solution Approach 1:
The noise reduction unit performs adaptation in advance based on motion detection, completing the adaptation process before speech occurs. This eliminates the need for continuous real-time adaptation during speech, reducing processing time while maintaining high accuracy.
Solution Approach 2:
The noise reduction unit automatically detects movement through the motion sensor and activates its own adaptation process without external intervention. This self-service mechanism allows the unit to adapt to environmental changes autonomously, improving accuracy without requiring continuous external processing.
Data Source
AI summary
Noise suppression in audio signals received by a voice activated device is supported with motion sensors. Motion sensors may provide an indication of movement or motion information, such as the linear or rotational displacement of the voice activated device. A noise reduction unit, which is held in idle mode to conserve power, may be activated in response to an indication of movement. When activated, the noise reduction unit may adapt to environmental noise from the new location or orientation, and switch back to idle mode. When speech is subsequently detected in audio signals, the noise reduction unit has already adapted to the noise and accordingly may reduce noise in the audio signal with no delay when activated. Additionally or alternatively, motion information may be used by the noise reduction unit to quickly adapt to noise in the audio signal.