Audio Spectral Expansion Using Band Power Balancing
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Solution Overview
Problem
Existing audio processing technologies fail to effectively enhance audio signal quality by compensating for human hearing's uneven sensitivity to frequency and loudness levels, often resulting in artifacts and high computational costs.
Innovation Solution
A method and apparatus that filter an input signal to separate passband and stopband frequency components and adjust their relative power values based on detected signal levels using root mean square or average values of signal samples, employing band-pass or band-stop filters and RMS scaling components to enhance low and high frequency components relative to mid-band components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing audio processing technologies are used to enhance audio signal quality, then frequency sensitivity compensation is attempted, but artifacts are generated and computational costs increase
Solution Approach 1:
The audio signal is segmented into multiple frequency bands (low, mid, high frequencies) using band-pass filters. Each frequency band is processed independently with different gain adjustments, allowing selective enhancement of specific frequency ranges while avoiding artifacts that would result from uniform processing across the entire spectrum.
Solution Approach 2:
Different quality enhancement strategies are applied to different frequency regions. Low and high frequency components receive gain enhancement relative to mid-band components, with the adjustment factor varying by frequency band. This local quality approach ensures that enhancement is tailored to the characteristics of each frequency region, improving overall audio quality without introducing artifacts.
2Manufacturing precision
If existing audio processing technologies are used to enhance audio signal quality, then frequency sensitivity compensation is attempted, but computational costs increase
Solution Approach 1:
The signal processing is segmented into simple, computationally efficient operations: band-pass filtering to separate frequency bands, RMS calculation for each band, and gain adjustment. This segmentation avoids complex computational algorithms while achieving effective frequency sensitivity compensation through straightforward mathematical operations.
Solution Approach 2:
The invention changes the power or amplitude parameters of different frequency bands based on their RMS values. By adjusting the gain factor for low and high frequency bands relative to the mid-band, the system achieves frequency sensitivity compensation through simple parameter modification rather than computationally intensive processing.
3Loss of information
If band-pass or band-stop filters are used to separate frequency components, then frequency separation is achieved, but device complexity increases
Solution Approach 1:
The filtering apparatus is segmented into multiple band-pass filters, each targeting a specific frequency range (low, mid, high). This segmentation allows effective frequency component separation while maintaining relatively simple filter designs for each band, avoiding the need for a single complex filter that would be required to achieve the same separation.
4Manufacturing precision
If power adjustment based on multiple signal samples is implemented, then audio signal quality is enhanced, but processing time increases
Solution Approach 1:
The invention changes the power or amplitude parameters of frequency bands based on RMS calculations from multiple signal samples. By using a predetermined number of samples to compute the adjustment factor and then applying this factor to enhance low and high frequency components, the system achieves quality enhancement through efficient parameter modification rather than time-consuming iterative processing.
Data Source
AI summary
A method, and a corresponding apparatus, for processing an input signal comprise filtering the input signal to separate a passband frequency component of the input signal from a stopband frequency component of the input signal, and adjusting relative signal power values of the passband frequency component and the stopband frequency component of the input signal based at least in part on signal values of a number of samples associated with the input signal. In the case of audio signals, for example, such processing is used for spectral expansion of the input signal by enhancing the power of the stopband, or low and high frequencies, component with respect to the power of the passband component of the input signal. As a result, a better audio quality is achieved.