Posture-Aware Voice Processing With Adaptive Correction Filters
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Solution Overview
Problem
Existing audio signal processing systems fail to account for the posture of a talker, leading to inadequate voice enhancement and quality.
Innovation Solution
An audio signal processing method that estimates posture information of a talker from an image, generates a correction filter based on this information, and applies filter processing to enhance voice quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio signal processing is performed without considering talker posture, then the processing system is simple, but voice quality and enhancement accuracy deteriorate
Solution Approach 1:
The patent introduces an image processing module as an intermediary that captures and analyzes the talker's posture from video feed. This separate module processes visual information to extract posture parameters, which then serve as inputs for adjusting audio processing parameters. This intermediary approach enables accurate voice quality enhancement while maintaining modular system architecture.
Solution Approach 2:
The system dynamically changes audio processing parameters based on detected posture parameters. When the talker's posture changes (e.g., head orientation, body position), the system adjusts microphone selection, gain levels, and beamforming parameters accordingly. This parameter adaptation allows the system to maintain high voice quality without requiring a completely complex reconfiguration.
2Measurement precision
If posture information is obtained through image processing, then voice enhancement accuracy improves, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary posture detection and analysis in parallel with audio signal acquisition. By pre-processing the video feed to extract posture information before audio enhancement is applied, the system avoids sequential processing delays. The posture parameters are prepared in advance and ready for immediate use when audio processing needs adjustment.
Solution Approach 2:
The image processing module focuses on detecting only the critical posture parameters needed for audio enhancement (such as head orientation and body position) rather than performing complete facial or body analysis. This selective detection approach provides sufficient accuracy for voice enhancement while significantly reducing computational load and processing time.
3Reliability
If correction filters are generated based on posture information, then voice quality compensation improves, but system complexity increases
Solution Approach 1:
The system generates correction filters by adjusting parameters such as gain levels, frequency response characteristics, and beamforming weights based on posture parameters. Instead of creating entirely new complex filter structures, the system modifies existing filter parameters in response to posture changes, simplifying the filter generation process while maintaining effective voice quality compensation.
Solution Approach 2:
The system implements a feedback mechanism where posture detection results continuously inform correction filter adjustments. The detected posture parameters feed into the filter generation module, which automatically adapts filter characteristics to compensate for voice attenuation and reverberation caused by the talker's current posture. This closed-loop approach improves reliability without requiring manual intervention or complex decision logic.
Data Source
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AI summary
An audio signal processing method includes receiving an audio signal corresponding to a voice of a talker (S11), obtaining an image of the talker (S12), estimating posture information of the talker using the image of the talker (S23), generating a correction filter according to the estimated posture information (S14), performing filter processing on the audio signal using the generated correction filter (S15), and outputting the audio signal on which the filter processing has been performed (S16).