Howling suppression method based on autonomous learning and sound amplification system

A self-learning, histogram technology used in sound reinforcement applications

Active Publication Date: 2019-09-17
SUZHOU RUSHENG ELECTRONICS CO LTD
View PDF2 Cites 5 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
  • Howling suppression method based on autonomous learning and sound amplification system
  • Howling suppression method based on autonomous learning and sound amplification system
  • Howling suppression method based on autonomous learning and sound amplification system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

[0057] The invention provides a howling suppression method based on self-learning, which is mainly composed of a howling frequency detection step and a howling suppression notch filter parameter updating step.

[0058] refer to Figure 4 Steps 1 to 7 shown, the specific process of the howling frequency detection step is as follows.

[0059] 1. Fram...

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 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...

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 Applications(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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap