Sound Processing Device Noise Suppression via Frequency Band Segmentation
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Solution Overview
Problem
Existing sound processing technologies face challenges in effectively reducing environment noise such as traffic and wind noise, which are exacerbated by power-consuming hardware that shortens battery life.
Innovation Solution
A sound processing device featuring a microphone array with multiple microphones aimed in different directions and a post-filtering module using finite impulse response filters to generate filtered signals across various frequency bands, comparing noise intensity correlations to suppress noise and enhance sound quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise cancellation or suppression technologies are used to remove or suppress noise, then sound quality is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent segments the sound signal processing into multiple frequency bands using filter banks. Each frequency band is processed independently to identify and suppress noise components. This segmentation allows the system to target specific noise frequencies without requiring complex full-spectrum noise cancellation algorithms, thereby reducing overall processing complexity while maintaining effective noise suppression.
Solution Approach 2:
The patent applies local quality by processing different frequency bands with different filtering strategies based on their specific characteristics. The beamforming weights and filtering parameters are adjusted locally for each frequency band according to the noise profile detected in that band. This localized processing approach enables effective noise suppression in noisy frequency regions while preserving signal quality in clean regions, reducing the need for uniformly complex processing across all frequencies.
2Object-affected harmful factors
If noise cancellation or suppression technologies are used to remove or suppress noise, then sound quality is improved, but power consumption increases and battery life is reduced
Solution Approach 1:
By segmenting the frequency spectrum into multiple bands and processing only the necessary bands with filtering operations, the patent reduces the computational load compared to full-spectrum noise cancellation. The system can skip intensive processing in frequency bands where noise is not present, thereby reducing power consumption while maintaining noise suppression effectiveness in affected bands.
Solution Approach 2:
The system uses the microphone array's spatial information and frequency-domain characteristics to automatically identify and suppress noise without requiring external assistance or complex adaptive algorithms. The beamforming and filtering operations leverage the inherent properties of the recorded signals to perform noise suppression in a computationally efficient manner, reducing power requirements compared to more sophisticated active noise cancellation systems.
3Object-affected harmful factors
If multiple microphones aiming to different directions are used to receive sound signals, then noise suppression capability is improved, but device complexity increases
Solution Approach 1:
The patent segments the spatial processing task by assigning different beamforming weights to different microphones based on their directional characteristics. Each microphone's output is processed with specific weights that emphasize sounds from desired directions and suppress sounds from noise directions. This segmentation of spatial processing simplifies the overall array complexity compared to more sophisticated adaptive beamforming systems while maintaining effective noise suppression.
Solution Approach 2:
The microphone array is designed to perform multiple functions: capturing sound from different directions, providing spatial noise suppression, and enabling frequency-band-specific processing. The same physical microphone array structure supports both the beamforming operation for spatial filtering and the subsequent frequency-band filtering, eliminating the need for separate processing systems and reducing overall device complexity.
Data Source
AI summary
A sound processing device is provided. The sound processing device includes a microphone array and a post filtering module. The microphone array includes microphones aiming to different directions and configured for receiving sound signals. The post filtering module is configured for receiving the sound signals from the microphone array, filtering the sound signals to generate groups of filtered signals each corresponding to one of the sound signals, wherein each of the filtered signals within a group corresponds to one of different frequency bands, generating band signals each based on a comparison of an intensity of one of the filtered signals that corresponds to the same one of the frequency bands in each group of the filtered signals and a noise intensity correlation between the frequency bands and adding the band signals to generate an output sound signal.