Acoustic Signal Processing Device Spatial Filter Control
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Solution Overview
Problem
Existing acoustic signal processing technologies struggle to effectively emphasize target voices and suppress noise in environments with multiple microphones, especially when keywords are not detected or in high-noise environments.
Innovation Solution
An acoustic signal processing device that includes a spatial filter control unit, a spatial filter storing unit, and an acoustic processing unit. This device determines whether input acoustic signals represent target voices or noise and calculates a spatial filter to emphasize the target voice and suppress noise, using voice and noise spatial correlation matrices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a spatial filter is calculated based on keyword detection timing, then the target voice can be emphasized during keyword utterance, but the system fails to effectively suppress noise when keywords are not detected or in high-noise environments
Solution Approach 1:
The system pre-calculates and stores spatial correlation matrices for both voice and noise during periods when they are dominant, preparing filtering data in advance. This allows the system to quickly apply appropriate spatial filters even when keywords are not currently detected, improving adaptability to different acoustic environments without waiting for keyword triggers.
Solution Approach 2:
The system dynamically switches between different spatial filters based on real-time acoustic environment analysis. By continuously monitoring which spatial correlation matrix (voice or noise) is currently dominant and adjusting the filter accordingly, the system adapts to changing conditions such as keyword presence, noise levels, and acoustic scenarios, resolving the contradiction between fixed keyword-based filtering and environmental adaptability.
2Productivity
If acoustic processing relies on voice recognition results to identify target voice sections, then processing can be targeted, but the system cannot effectively process signals in high-noise environments where voice recognition fails
Solution Approach 1:
The system introduces spatial correlation matrices as an intermediary mechanism between the acoustic signals and the final processed output. These matrices capture the spatial characteristics of voice and noise independently of voice recognition results, allowing the system to perform reliable acoustic processing even when voice recognition fails in high-noise environments. The spatial correlation matrices serve as a bridge that enables processing without direct dependence on voice recognition accuracy.
3Device complexity
If the system processes all acoustic signals uniformly, then processing is simple, but it cannot effectively emphasize target voices and suppress noise simultaneously
Solution Approach 1:
The system segments the acoustic processing into distinct spatial correlation components: voice spatial correlation matrices and noise spatial correlation matrices. By separating the analysis of target voice characteristics from noise characteristics and storing them as distinct pre-calculated matrices, the system achieves effective target voice emphasis and noise suppression without requiring overly complex real-time processing. This segmentation allows independent optimization of each component while maintaining overall system efficiency.
Data Source
AI summary
The recognition rate can be improved even in a noise environment and without relying on the voice-recognition result. An acoustic signal processing device includes a spatial filter control unit, a spatial filter storing unit, and an acoustic processing unit. The spatial filter control unit outputs a spatial filter for emphasizing the target voice component and suppressing the noise component for N number of temporally-synchronized acoustic signals (N≥2) recorded at different positions. The spatial filter storing unit stores therein the spatial filter. Using the spatial filter read from the spatial filter storing unit, the acoustic processing unit emphasizes the target voice component in the acoustic signals, and suppresses the noise component in the acoustic signals. The spatial filter control unit further includes a determining unit, a voice spatial correlation calculating unit, a noise spatial correlation calculating unit, a spatial correlation storing unit, and a spatial filter calculating unit.