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

Acoustic chamber characteristics classification method for active noise-canceling headphones

A technology of active noise reduction and characteristic classification, which is applied in earphones to reduce environmental noise, earpiece/earphone accessories, microphones, etc., which can solve the problems of deteriorating noise reduction effect, not considering the characteristics of different earphone sound chambers, and unable to guarantee the consistency of earphone sound chamber characteristics, etc. , to achieve the effect of perfect noise reduction performance, less calculation, and excellent noise reduction performance

Inactive Publication Date: 2020-04-14
HUITING ACOUSTICS TECH BEIJING CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a method for classifying the acoustic cavity characteristics of active noise-cancelling earphones, so as to solve the problem that the current noise-cancelling methods in the prior art cannot guarantee good consistency of the acoustic cavity characteristics of all earphones, and do not consider The acoustic cavity characteristics of different earphones are not consistent, which leads to the technical problem of using a filter with a fixed structure and parameters to deteriorate the noise reduction effect

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
  • Acoustic chamber characteristics classification method for active noise-canceling headphones

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] The embodiment of the present invention provides a method for classifying acoustic cavity characteristics of active noise reduction earphones, which can determine the category of acoustic cavity characteristics by measuring the frequency response curve, such as figure 1 As shown, the method includes:

[0028] Step 101: Establish a frequency response curve library T={T of typical acoustic cavity characteristics of active noise reduction earphones 1 ,T 2 ,...,Tn}, where Tn represents the frequency response curve of the nth typical acoustic cavity characteristics, n=1, 2,...,m, where m is a positive integer greater than 1.

[0029] Among them, the typical acoustic cavity characteristics include the acoustic cavity characteristics of the earphone caused by various earphone cavity structures and the acoustic cavity characteristics of the earphone caused by various usage modes. During the assembly process of the earphones, there will be the problem of inconsistent sound cav...

Embodiment 2

[0044] The embodiment of the present invention provides a method for classifying the characteristics of the front cavity of the active noise canceling earphone, which can determine the category of the characteristics of the front cavity of the current earphone through the method for classifying the characteristics of the acoustic cavity of the active noise canceling earphone provided in the first embodiment. The method includes :

[0045] Step 201; Establish a typical front cavity characteristic frequency response curve library T of the active noise reduction earphone 1 ={T 11 ,T 12 ,...,T 1n}, where T 1n Indicates the frequency response curve of nth typical acoustic cavity characteristics, n=1, 2,..., m1, m1 is a positive integer greater than 1.

[0046] Step 202: Obtain the acoustic cavity characteristic frequency response curve L of the current active noise reduction earphone through measurement 1 .

[0047] Step 203: Calculate the frequency response curve L by using ...

Embodiment 3

[0054] The embodiment of the present invention provides a method for classifying the characteristics of the rear cavity of the active noise canceling earphone, which can determine the category of the characteristics of the rear cavity of the current earphone through the method for classifying the characteristics of the acoustic cavity of the active noise canceling earphone provided in the first embodiment. The method includes: :

[0055] Step 301: Establish a typical frequency response curve library T of the acoustic chamber characteristic of the active noise reduction earphone 2 ={T 21 ,T 22 ,...,T 2n}, where T 2n Indicates the frequency response curve of the nth typical acoustic cavity characteristics, n=1, 2,..., m 2 , m 2 is a positive integer greater than 1.

[0056] Step 302: Measure and obtain the characteristic frequency response curve L of the rear cavity of the current active noise canceling earphone 2 .

[0057] Step 303: Using the similarity algorithm to ca...

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 provides an acoustic cavity characteristic classification method of an active noise reduction earphone. The method comprises the following steps: establishing a frequency response curvelibrary T of a typical acoustic cavity characteristic of the active noise reduction earphone; obtaining an acoustic cavity characteristic frequency response curve L of the current active noise reduction earphone by measuring; and calculating the similarity between all typical acoustic cavity characteristic curves in L and T by using a similarity algorithm, and determining the category of the acoustic cavity characteristic of the current active noise reduction earphone. Compared with the prior art, the acoustic cavity characteristic classification method of the active noise reduction earphone has the advantages of being simple, small in calculated amount, easy to implement and suitable for batch production of the active noise reduction earphone; the category of the acoustic cavity characteristic of the current earphone can be quickly determined, and an active noise reduction system is designed for different categories of acoustic cavity characteristics, the robustness of the system is better, and the noise reduction performance is better.

Description

technical field [0001] The invention relates to the technical field of active noise reduction, in particular to a method for classifying acoustic cavity characteristics of active noise reduction earphones. Background technique [0002] Wearing active noise-canceling headphones is an effective way to block out ambient noise. Active noise canceling earphones use secondary sound sources to generate noise cancellation waves that are equal in amplitude and opposite in phase to the ambient noise, and the noise cancellation waves interfere with the noise sound waves to eliminate noise. [0003] In order to generate a noise-cancelling wave with good noise-cancellation performance, it is necessary to accurately establish a model of the propagation characteristics of the noise in the earphone, and design a filter circuit on this basis, and the noise signal can generate a noise-cancellation signal through the filter circuit. The core technology of active noise-cancelling headphones li...

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): H04R1/10
CPCH04R1/1083H04R2201/10
Inventor 虞安波
Owner HUITING ACOUSTICS TECH BEIJING CO LTD