Frequency-Weighted Signal Filtering for Acoustic Shock Reduction
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Solution Overview
Problem
Existing technologies fail to effectively remove acoustic incidents during phone calls, as they are generated as white noise across the entire frequency band, rather than as tone signals, leading to user discomfort such as acoustic shock.
Innovation Solution
A method and apparatus using a frequency weighting filter to separate and reduce acoustic incident signals by applying different weights to different frequency bands, allowing for the detection and reduction of energy values in specific time bands, thereby distinguishing and mitigating the impact of acoustic incident signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a frequency weighting filter is applied to reduce the reference energy value, then acoustic incident signals can be effectively detected and removed, but the complexity of the signal processing system increases
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands using a frequency weighting filter, allowing different weightings to be applied to different frequency ranges. This segmentation enables targeted detection of acoustic incident signals while maintaining voice signal integrity, resolving the contradiction between effective signal removal and system complexity by organizing the processing into manageable frequency segments
Solution Approach 2:
The patent applies local quality by using a frequency weighting filter that assigns different weights to different frequency bands. This allows the system to selectively emphasize or de-emphasize specific frequency ranges, improving acoustic incident detection in problematic frequency bands while preserving voice quality in other bands, thus achieving effective signal removal without uniformly increasing overall system complexity
2Measurement precision
If the reference energy value is reduced using a frequency weighting filter, then acoustic incident signals can be distinguished from voice signals, but the processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing frequency weighting coefficients before actual signal processing. The frequency weighting filter is configured in advance with predetermined weights for different frequency bands, allowing the system to quickly apply these pre-computed weights during real-time processing without performing complex calculations on the fly, thus improving detection accuracy while minimizing processing time
Solution Approach 2:
The patent utilizes parameter changes by adjusting the frequency weighting parameters to optimize the balance between detection accuracy and processing speed. The system can modify the weighting factors and reference energy thresholds based on signal characteristics, enabling efficient detection of acoustic incidents while maintaining acceptable processing times through adaptive parameter adjustment
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
Efficiently separates voice and acoustic incident signals by reducing the energy value of acoustic incident signals to a reference level, minimizing user discomfort and maintaining voice signal quality.
Implementation Method 1
filtering the received signals by using a frequency weighting filter; The frequency weighting filter may apply increasing weights from a low frequency band to a high frequency band
Data Source
AI summary
A method of removing a signal from among received signals, the method including: filtering the received signals; detecting a time band of the filtered received signals where an energy value of the filtered received signals exceeds a reference energy value; and applying a gain value to one or more received signals, from among the received signals, in the detected time band.