Speech Quality Enhancement via Noise-Adaptive Parameter Tuning
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Solution Overview
Problem
Existing audio and speech signal processing technologies fail to simultaneously enhance both subjective and objective speech quality in noisy environments, as subjective quality is not proportional to objective quality, and objective quality may deteriorate when subjective quality is enhanced.
Innovation Solution
A method and apparatus that acquire real-time near-end noise signals, measure subjective and perceptual-objective speech quality, select appropriate speech quality enhancement methods, and determine optimal parameters for enhancing speech quality, adapting to noise environments by mixing near-end noise with a reference signal to generate test signals for quality evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech quality enhancement algorithms are applied to improve subjective speech quality, then speech articulation is enhanced, but objective speech quality may deteriorate
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the parameters of speech quality enhancement algorithms based on the measured noise level. When noise level exceeds a threshold, the system modifies parameters such as smoothing factors and enhancement gains to optimize both subjective speech quality and objective speech quality simultaneously, resolving the contradiction between enhanced articulation and signal fidelity
Solution Approach 2:
The system implements dynamics by continuously monitoring noise levels and adaptively changing the speech quality enhancement parameters in real-time. The noise level detector and parameter adjuster create a dynamic system that responds to changing acoustic conditions, allowing the enhancement algorithm to maintain optimal performance across varying noise environments without permanently degrading objective quality
2Reliability
If speech quality enhancement parameters are optimized for noisy environments, then call quality improves, but the system complexity increases
Solution Approach 1:
The patent segments the speech quality enhancement system into distinct functional modules: a noise level detector, a parameter adjuster, and an enhancement algorithm. This segmentation allows each component to perform a specific function independently, making the overall system more manageable and maintainable while achieving improved call quality in noisy environments
Solution Approach 2:
The system performs preliminary action by pre-defining multiple sets of enhancement parameters corresponding to different noise level ranges. Instead of computing optimal parameters in real-time, the system pre-calculates parameter sets and selects the appropriate set based on current noise conditions, reducing computational complexity while maintaining reliability
Data Source
AI summary
A voice signal processing method according to an embodiment of the present disclosure for overcoming the problem includes: acquiring a real-time near-end noise signal; acquiring a far-end voice signal according to an incoming call; measuring subjective speech quality and perceptual-objective speech quality of test signals generated based on a reference signal and the real-time near-end noise signal; selecting at least one speech quality enhancement method based on the subjective speech quality and the perceptual-objective speech quality, and determining parameters that are to be applied to the selected at least one speech quality enhancement method; and enhancing speech quality of the far-end voice signal by using the selected at least one speech quality enhancement method, based on the determined parameters, wherein the test signals are generated by mixing the acquired real-time near-end noise signal with the reference signal whose speech quality is enhanced by applying a combination of parameter values to speech quality enhancement methods.