Adaptive Voice Signal Noise Subtraction in Noisy Environments
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Solution Overview
Problem
Existing methods fail to effectively remove noise from voice signals in noisy environments, as they do not adequately account for varying energy levels and user-set volume adjustments, leading to suboptimal noise reduction and voice enhancement.
Innovation Solution
A method and apparatus that detect the frequency spectrum and energy levels of both noise and voice signals, using weight values based on energy level differences to subtract noise from the voice signal, and enhance voice signals based on noise energy and volume level adjustments, effectively improving signal quality in noisy environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise signal frequency spectrum is removed from input signal frequency spectrum, then noise reduction is achieved, but voice signal quality deteriorates due to inadequate accounting for varying energy levels and volume adjustments
Solution Approach 1:
The patent applies dynamics by making the noise removal process adaptive rather than static. The weight value applied to the noise frequency spectrum is dynamically adjusted based on the energy level of the voice signal and the set volume level. This allows the noise reduction system to adapt to varying energy levels and volume adjustments, preventing voice signal quality deterioration while effectively removing noise.
Solution Approach 2:
The patent changes the parameter of the noise frequency spectrum by applying a weight value that is determined based on the energy level of the voice signal and the set volume level. This parameter change allows the system to selectively remove noise while preserving voice signal quality, as the weight value adjusts the degree of noise removal based on real-time signal conditions.
2Device complexity
If fixed weight value is applied to noise frequency spectrum, then processing simplicity is maintained, but adaptability to varying energy levels and volume changes is lost
Solution Approach 1:
The patent transforms the fixed weight value into a dynamic parameter that changes based on voice signal energy level and set volume level. This dynamic adaptation allows the system to respond to varying energy levels and volume changes, significantly improving adaptability while maintaining reasonable processing complexity through the use of energy level detection and volume level input.
Data Source
AI summary
A method of removing noise includes detecting a frequency spectrum of a noise signal around the transmitting terminal, when an input signal which is a mixture of a voice signal and the noise signal is received, detecting a frequency spectrum of the input signal and an energy level of the voice signal, multiplying the frequency spectrum of the noise signal by a weight value that is determined based on the energy level of the voice signal to obtain a weighted noise frequency spectrum, and subtracting the weighted noise frequency spectrum from the frequency spectrum of the input signal.


