Adaptive Gain Control for Vehicle Sound Recognition
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Solution Overview
Problem
Existing sound recognition systems in vehicles face challenges in accurately recognizing user commands amidst high levels of noise, such as engine noise, which affects the performance and reliability of noise elimination and sound recognition.
Innovation Solution
An apparatus and method that utilize a gain acquisition unit to determine a gain and correction value based on the signal-to-noise ratio (SNR) of input signals, employing noise component estimation using algorithms like MCRA and MMSE, and frequency band division for noise processing, to effectively eliminate noise and improve sound recognition rates with minimal computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noise elimination processing is applied to improve sound recognition accuracy, then sound recognition rate is improved, but device complexity increases
Solution Approach 1:
The patent divides the noise elimination process into distinct functional modules: SNR calculation unit, gain calculation unit, and noise elimination processing unit. This segmentation allows each module to perform a specific function independently, improving sound recognition accuracy while keeping the overall system complexity manageable through modular design.
Solution Approach 2:
The patent implements dynamic gain adjustment based on real-time SNR calculations. The gain value is dynamically modified according to the calculated SNR, allowing the noise elimination process to adapt to varying noise conditions. This dynamic approach improves recognition accuracy without requiring complex fixed-structure processing.
2Reliability
If advanced noise elimination algorithms are used to improve sound recognition in noisy environments, then sound recognition rate is improved, but computational resources increase
Solution Approach 1:
The patent applies noise elimination selectively based on SNR thresholds rather than processing all audio signals uniformly. When SNR exceeds certain thresholds, the system adjusts gain or skips processing, performing partial noise elimination only when necessary. This approach improves reliability in noisy conditions while reducing unnecessary computational resource consumption in quiet environments.
Solution Approach 2:
The patent changes processing parameters (gain values) based on calculated SNR metrics. By adjusting the gain parameter dynamically according to noise levels, the system achieves reliable sound recognition in varying acoustic conditions while optimizing computational resource usage through parameter-based control rather than complex algorithmic changes.
Data Source
AI summary
An apparatus for eliminating noise includes: a gain acquisition unit that determines a gain and a correction value of the gain using a signal to noise ratio (SNR) of an input signal; and a gain application unit that acquires an output signal corresponding to the input signal using the determined gain and the determined correction value, wherein the output signal includes an input signal of which noise is eliminated and an input signal of which noise is not eliminated, and a proportion of the input signal of which noise is eliminated and a proportion of the input signal of which noise is not eliminated are determined according to the determined correction value.