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

Real ear analysis and testing system based on machine learning

A machine learning, analysis and testing technology, applied in hearing aid testing/monitoring, hearing aids, electrical components, etc., can solve the problem that hearing aid fitting cannot be completely objective and accurate, so as to ensure accuracy and reduce the possibility of judgment errors. Effect

Active Publication Date: 2021-09-28
无锡清耳话声科技有限公司 +1
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the current hearing aid fitting cannot be completely objective and accurate, the present invention provides a real ear analysis and testing system based on machine learning, which can objectively and accurately evaluate the amplification of the hearing aid on the real human ear, thereby ensuring that the final hearing aid Fitting Accuracy

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
  • Real ear analysis and testing system based on machine learning
  • Real ear analysis and testing system based on machine learning
  • Real ear analysis and testing system based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Such as figure 1 , image 3 As shown, the real ear analysis and test system based on machine learning of the present invention includes: a real ear test module, a test drive module, a data import module, a hearing compensation value prediction module, a calibration module, and a data export module, wherein the test drive module, data The import module, hearing compensation value prediction module, calibration module, and data export module are software parts, and the real ear test module is a hardware test part. The software part is installed on the control terminal PC, and the control terminal PC is connected to the real ear test module through a sound card.

[0039] The real ear test module includes sound playback equipment, measurement microphone, reference microphone, control terminal, plug-in headphones, headphone amplifier, and low-noise microphone amplifier;

[0040] The measurement microphone and the reference microphone are the main components of the real ear ...

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 present invention provides a real ear analysis and test system based on machine learning, which can objectively and accurately evaluate the amplification of a hearing aid on a real human ear, thereby ensuring the accuracy of the final fitting of the hearing aid. Through the real-time data processing module in the test drive module, the sound spectrum data returned by the measurement microphone is collected in real time, and the actual hearing compensation value of the person to be predicted is obtained after processing. The hearing compensation value prediction module is used to predict according to the personal data of the person to be predicted, and obtain For the predicted hearing compensation value of the person to be predicted, the actual measured hearing compensation value and the predicted hearing compensation value are simultaneously displayed on the same interactive interface in the same coordinate system, and the difference between the predicted hearing compensation value and the actual measured hearing compensation value is intuitively displayed .

Description

technical field [0001] The invention relates to the technical field of acoustic testing equipment, in particular to a real ear analysis and testing system based on machine learning. Background technique [0002] During the hearing aid fitting process, it is necessary to use the appropriate hearing compensation prescription formula according to the patient's gender, age, hearing loss type, hearing loss degree and other related factors to calculate the specific intervention gain amount at different frequencies. The selection of early hearing aids and the evaluation of the effect of hearing aids used subjective methods. The fitter judged the quality of the fitting effect by asking the patient about the subjective feelings of wearing the hearing aid, which was used as the evaluation standard. This method relies too much on the personal ability of the fitter, so the fitting effect is very unstable. In recent years, the Real Ear Measurement (REM) method has been introduced into t...

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): H04R25/00
CPCH04R25/30H04R25/507
Inventor 宫琴宣韬
Owner 无锡清耳话声科技有限公司