Acoustic amplification system howling point detection method based on neural network
A technology of neural network and sound reinforcement system, applied in the field of howling point detection of sound reinforcement system based on neural network, can solve the problems of missed judgment, misjudgment of howling point, inability to accurately track and detect howling point, etc., to achieve Overcome misjudgment, improve the effect of use, and strengthen the effect of self-learning function
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[0021] The present invention aims to propose a method for detecting howling points of a sound reinforcement system based on a neural network, so as to solve the problems of misjudgment and missed judgment of howling points and the inability to accurately track and detect howling points in the traditional technology. Its core idea is: train the defined neural network model through a large number of collected sample data, obtain the howling point recognition model, and apply the howling point recognition model to the actual howling point recognition and tracking of audio data, so as to quickly , Accurately detect howling points.
[0022] In specific implementation, the howling point detection method process of the neural network based sound reinforcement system in the present invention is as follows figure 1 As shown, it includes the following implementation steps:
[0023] 1. Collect audio data and perform FFT conversion to mark howling frequency points to form sample data;
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