Minute Resonator Band Separation for Audio Noise Reduction
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Solution Overview
Problem
Current sound signal processing methods, such as spectral subtraction, beam forming, and source separation, are inefficient in effectively removing noise from sound signals, particularly in distinguishing between signal and noise across different frequency bands.
Innovation Solution
A sound signal processing apparatus comprising a band separator using multiple resonators to separate sound signals into frequency bands, followed by signal processing blocks that determine and amplify relevant signals based on threshold intensity levels, and an adder to combine processed signals, allowing for controlled gain profiles and noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If spectral subtraction or beam forming algorithms are used to remove noise, then noise removal capability is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent segments the audio signal into multiple frequency bands using bandpass filters, allowing independent noise processing for each band. This divides the complex global noise removal problem into simpler per-band processing tasks, reducing overall algorithmic complexity while maintaining effective noise removal capability.
Solution Approach 2:
The patent applies different processing strategies to different frequency bands based on local characteristics. By analyzing signal-to-noise ratios individually in each band and applying selective gain adjustments, the system optimizes noise removal locally rather than applying a uniform complex algorithm across all frequencies.
2Productivity
If multiple microphones are used for beam forming or source separation, then noise removal efficiency is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts and processes different frequency bands separately using bandpass filters, enabling noise removal in each band independently. This extraction approach allows effective noise removal without requiring multiple microphones, as the frequency domain separation provides the necessary signal differentiation.
Solution Approach 2:
The patent replaces the mechanical approach of using multiple microphones with a signal processing approach using frequency band separation and selective amplification. Instead of relying on spatial arrangement of multiple sensors, the system uses spectral decomposition and gain control to achieve noise removal.
3Ease of manufacture
If uniform gain profile is applied across all frequency bands, then simplicity is maintained, but noise removal effectiveness decreases
Solution Approach 1:
The patent applies different gain profiles to different frequency bands based on their local signal-to-noise characteristics. By calculating separate gain factors for each band and applying them selectively, the system achieves effective noise removal while maintaining simplicity in the overall processing architecture.
4Measurement precision
If selective signal processing is applied to enhance specific frequency bands, then signal clarity is improved, but distortion of original signal characteristics may occur
Solution Approach 1:
The patent calculates signal-to-noise ratios for each frequency band and uses this feedback to dynamically adjust gain factors. This feedback mechanism ensures that amplification is applied selectively to bands where it improves clarity, while avoiding excessive gain in bands where it would cause distortion, thus maintaining signal fidelity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly enhances noise removal efficiency, improving the signal-to-noise ratio and increasing the clarity of sound signals by selectively processing and amplifying signals based on frequency bands, thereby reducing noise interference.
Implementation Method 1
a band separator configured to separate sound signals based on frequency bands; The band separator may include a plurality of resonators configured to separate the sound signals based on the frequency bands
Data Source
AI summary
Sound signal processing apparatuses and methods of operating the same are provided. The sound signal processing apparatus includes: a band separator configured to separate sound signals into frequency bands; an adder configured to add sound signals; and a signal processor that is arranged between the band separator and the adder and comprises a plurality of signal processing blocks. The band separator includes elements for separating the sound signals into frequency bands, and the elements correspond one to one to the signal processing blocks.