Noise howling component perception saliency evaluation method, device, equipment and medium

By acquiring and processing the characteristic loudness of noise signals, removing howling components and calculating their contribution, the problems of low correlation and large error in existing evaluation methods are solved, and a fast and accurate evaluation of the perceived salience of howling components is achieved.

CN121641069APending Publication Date: 2026-03-10CHINA FAW CO LTD
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Patent Information

Application Number
CN202511733799.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-24
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Existing methods for evaluating noise feedback components suffer from low correlation with perception, large errors, unstable evaluation results, and failure to consider the masking effect, thus failing to accurately characterize human auditory perception.

Method used

By acquiring the characteristic loudness of the original signal, removing the howling component, and calculating the loudness of the reference signal, and combining the masking effect, the characteristic loudness contribution and perceived salience of the howling component are calculated.

Benefits of technology

It achieves a fast and accurate evaluation of the perceived salience of noise howling components, can automatically or manually identify howling peaks, has a fast calculation speed, does not require model training, and the results are consistent with human ear perception.

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Abstract

The invention relates to the technical field of vehicle vibration noise analysis, in particular to a noise howling component perception saliency evaluation method, device and equipment and a medium, and the method comprises the steps: obtaining an original signal with a howling component, and calculating the feature loudness of the original signal; removing a howling component in the original signal to obtain a reference signal, and calculating the characteristic loudness of the reference signal; calculating a feature loudness contribution amount caused by the howling component according to the two feature loudnesses; and calculating the reference loudness of the reference signal in the howling influence interval so as to calculate the howling component perception saliency according to the feature loudness contribution amount caused by the howling component and the reference loudness. Therefore, the problems that in a related howling problem evaluation index method starting from a howling perception mechanism, the sound pressure level cannot accurately represent human ear perception, and the influence of the masking effect is not considered, that is, the difference between the frequency band energy where the howling component is located and the lower frequency band energy has decisive influence on the prominence perception of the howling component are solved.
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