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Hearing aid self-fitting method based on deep learning network

A deep learning network and hearing aid technology, applied in hearing aids, hearing aid testing/monitoring, biological neural network models, etc., can solve problems such as difficulty in meeting patients' needs, low accuracy, and insufficient use of comprehensive patient information, etc., to improve user experience Satisfaction, shortening fitting time, and improving fitting efficiency

Active Publication Date: 2019-01-04
NANJING INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the traditional hearing aid fitting process does not make full use of the comprehensive information of the patient, the fitting method is inefficient, low in accuracy, and difficult to meet the needs of the patient

Method used

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  • Hearing aid self-fitting method based on deep learning network
  • Hearing aid self-fitting method based on deep learning network
  • Hearing aid self-fitting method based on deep learning network

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Such as figure 1 As shown, the hearing aid self-fitting method based on the deep learning network of the present invention comprises the following steps,

[0036] Step (A), establishing a patient comprehensive information database, the patient comprehensive information database,

[0037] Including (A1), the patient's basic information database, including age, gender, audiogram and hearing impairment years;

[0038] (A2), cognitive ability index library, including spatial auditory measurement, scene analysis ability measurement, dynamic auditory measurement when multitasking, auditory memory capacity measurement, auditory attention measurement, fatigue and tolerance measurement;

[0039] (A3), the fitting process information database, including the voice used for fitting, each parameter change, and the patient's feedback on the voice generated by each adjustmen...

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Abstract

The invention discloses a hearing aid self-fitting method based on a deep learning network. Through building a comprehensive patient information bank and through deeply analyzing the patient and the fitting process, an effective strategy in the fitting process is found out, a new intelligent hearing aid self-fitting model is thus built, and the fitting efficiency is improved. The deep learning network is introduced, through a large amount of data training, the network is made to have artificial intelligence, voice information consistent with the hearing loss characteristics of the patient canbe quickly generated according to the basic information of the patient, the input gains can be adjusted automatically according to the evaluation feedback of the patient, the fitting time is greatly shortened, and the satisfaction of the user is improved.

Description

technical field [0001] The invention relates to the technical field of audio signal processing, in particular to a hearing aid self-fitting method based on a deep learning network. Background technique [0002] We know that hearing loss will seriously affect the physical and mental health of hearing-impaired patients. Wearing hearing aids is currently the most effective means for hearing-impaired patients to improve their hearing. In China, due to the huge elderly hearing loss population, backward hearing aid technology, and the differences between Chinese and English, the research on Chinese digital hearing aid technology is facing severe challenges. [0003] Traditional hearing aid fitting mainly relies on the audiologist's interpretation of the patient's problem, which is then translated into the correct electro-acoustic characteristics of the hearing aid. As the types of hearing aids and the number of signal processing parameters continue to increase, the skill requirem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04R25/00G06N3/04
CPCH04R25/30G06N3/045
Inventor 梁瑞宇王青云唐闺臣谢跃冯月芹田丽鸿
Owner NANJING INST OF TECH
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