Unlock instant, AI-driven research and patent intelligence for your innovation.

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

Active Publication Date: 2021-03-19
SUZHOU RUSHENG ELECTRONICS CO LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A howling suppression method and sound reinforcement system based on autonomous learning
  • A howling suppression method and sound reinforcement system based on autonomous learning
  • A howling suppression method and sound reinforcement system based on autonomous learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[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), ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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 present invention belongs to the field of radio synthesis, involving a whistling suppression method and ambacid system based on autonomous learning. Background technique [0002] Refer figure 1 As shown, the sound feedback is an audio signal output through the speaker system, and then amplified by the power amplifier and then outputs the speaker system, forming a speaker system - microphone-amplifier-speaker system. Under the conditions that meet the balance of amplitude balance and phase balance, sound feedback can result in an increased frequency signal that has an increased range of self-excited oscillation of the entire closed loop system, causing a whistling like "嗡嗡" or "呜呜". The whistling sound will not only cause the output signal distortion, causing the subjective listening experience, hindering normal voice communication, and it is possible to burn the power amplifier because the output power is too high, resulting in damage to the device. Th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04R27/00
CPCH04R27/00
Inventor 蔡野锋叶超马登永沐永生
Owner SUZHOU RUSHENG ELECTRONICS CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More