Audio Quality Scoring Using Loudness-Weighted Playback Evaluation
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Solution Overview
Problem
Consumers face difficulty in evaluating and comparing the audio quality of different playback devices, as the same audio file played back on various devices results in varying quality, making it challenging to make informed purchasing decisions without personal listening experience.
Innovation Solution
An audio processing method and device that calculates a loudness value and two sound quality values using specific signals, then quantifies the sound quality level using a formula where loudness is a primary factor, preventing unpredicted phenomena by prioritizing loudness in playback quality assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sound quality parameters are measured to evaluate playback device performance, then measurement precision is improved, but the complexity of evaluation increases making it difficult for consumers to make decisions
Solution Approach 1:
The patent segments the audio signal into multiple frequency bands (low, mid, high frequencies) and calculates separate sound quality values for each band. This segmentation allows comprehensive measurement of different audio characteristics while organizing the evaluation into manageable components that can be systematically processed and presented to consumers.
Solution Approach 2:
The patent transforms multiple complex sound quality parameters into a single unified sound quality level value through a weighted calculation formula. By changing the representation from multiple parameters to one综合指标, the system maintains measurement precision while simplifying the final evaluation output for consumer decision-making.
2Reliability
If loudness is prioritized as the primary factor in sound quality calculation, then the reliability of playback quality assessment is improved, but the ability to capture subtle quality differences may be reduced
Solution Approach 1:
The patent applies parameter changes by using a weighted calculation formula that transforms loudness and frequency-specific sound quality values into a unified sound quality level. The formula loudness value×[1+(B×first sound quality value+C×second sound quality value)] dynamically adjusts the contribution of different parameters based on their relative importance, ensuring loudness remains primary while preserving subtle quality differences through the frequency-band-specific measurements.
Data Source
AI summary
An audio processing method includes the following steps: receiving audio information; capturing a square wave signal, a white signal, and a speech signal of the audio information; calculating a loudness value of the audio information; calculating a first sound quality value and a second sound quality value of the audio information by using the square wave signal, the white signal, and the speech signal of the audio information; calculating a sound quality level of the audio information by using a first calculation formula, the first calculation formula being the loudness value*[1+(B*the first sound quality value+C*the second sound quality value)], where B and C are respectively values greater than 0 and less than 0.1; and displaying a value of the sound quality level of the audio information.