A howling suppression method and sound reinforcement system based on autonomous learning
A self-learning, histogram technology, applied in the field of sound reinforcement applications
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[0056] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings to make it easier to be understood by those skilled in the art. It should be noted herein to help understand the present invention, but is not intended to be limited to the present invention. Further, the technical features of the various embodiments of the invention described below can be combined as long as they do not constitute a collision between each other.
[0057] The present invention provides a method based on autonomous learning, which is mainly composed of a whistling frequency detection step and a whistle suppression notch parameter update step.
[0058] Refer Figure 4 The specific processes shown in steps 1 through 7, the speech frequency detection steps are as follows.
[0059] 1, the microphone input signal group frame y (t) = [y (t + p-m) ... y (t + p-1)] T And Fourier transform, obtains it shortcoming Fourier spectrum y (ω, t), ...
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