Howling suppression method based on autonomous learning and sound amplification system

Abstract

The invention discloses a howling suppression method based on autonomous learning and a sound amplification system. The howling suppression method and the sound amplification system solve the problem that manual debugging is needed in a wave trapping method. The method comprises a howling suppression trap updating step, and the howling suppression trap parameter updating step comprises the steps that if the howling frequency is detected, parameters of all second-order IIR traps are set in sequence, and meanwhile the reliability of the howling frequency is updated; if the last wave trap parameter is updated and the howling frequency is detected again, the second-order IIR wave trap parameters are covered in sequence until each second-order IIR wave trap parameter is covered by N0 times, and N0 is greater than or equal to 1; sequencing is carried out according to the peak values of the credibility statistical histogram, the previous maximum N1 new peak value ranges are extracted, the center frequency, the quality factor and the gain are calculated according to credibility weights, and the parameters of the N1 new fixed second-order IIR wave traps are determined; and the parameters of the fixed second-order IIR trap are kept unchanged, and the parameters of the dynamic second-order IIR trap are adjusted in real time according to the howling condition.

Description

technical field [0001] The invention belongs to the field of sound reinforcement applications, and relates to a howling suppression method and a sound reinforcement system based on autonomous learning. Background technique [0002] refer to figure 1 As shown, the acoustic feedback is that the audio signal is output through the speaker system, picked up by the microphone, amplified by the power amplifier, and then output by the speaker system, forming a positive feedback between the speaker system-microphone-amplifier-speaker system. Under the conditions of amplitude balance and phase balance, acoustic feedback will cause the self-excited oscillation of the entire closed-loop system to generate a certain frequency signal with increasing amplitude, causing howling sounds such as "humming" or "whining". The howling sound will not only cause output signal distortion, worsen the subjective listening experience, and hinder normal voice communication, but also may burn out the pow...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a howling suppression method and sound reinforcement system based on self-learning, which reduces the difficulty of manual debugging in the notch method

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