Parameter self-adjusting method for fitting-free hearing aid

Abstract

The invention discloses a parameter self-adjusting method for a fitting-free hearing aid. The parameter self-adjusting method comprises the following steps: 1, determining 10 groups of parameters [a1, b1, a2, b2, r, s, t] from 1 to 10; 2, according to the hearing loss of the patient at the center frequency CF, respectively calculating the hearing loss of internal / external hair cells corresponding to the 10 groups of parameters, and the maximum gain and compensation coefficient of the normal ear and the affected ear; 3, framing and windowing the input voice xin, and calculating an energy spectrum E(k) of each frame of signal; 4, calculating compensation gains corresponding to the 10 groups of parameters; 5, enabling the compensation gain calculated in the step 4 to act on the signal spectrum, and obtaining 10 groups of compensated voice signals; and 6, calculating the fitness of the 10 groups of voice signals, and regenerating 10 groups of parameters. According to the parameter self-adjustment method for the fitting-free hearing aid, the loudness compensation model is established according to the cochlea hearing loss model, the parameters are adjusted adaptively based on the intelligent algorithm, and the method has the advantages of being good in loudness compensation effect and convenient to deploy.

Description

technical field [0001] The invention relates to the technical field of hearing aid fitting, in particular to a parameter self-adjustment method for fitting-free hearing aids. Background technique [0002] 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 requirements for hearing ex...

AI Technical Summary

Problems solved by technology

At present, it has become a research trend to use artificial intelligence algorithms to replace the role of hearing experts, such as the optimization of spectrum enhancement algorithm parameters and multi-channel compensation algorithm parameters based on genetic algorithms, but the convergence speed of the genetic algorithm is slow and the stability is poor, which affects Practicality of Algorithms

Moreover, due to the lack of effective cognitive assessment methods, the research on cognitive-based parameter optimization algorithms has been slow. In recent years, some experts have proposed a self-fitting hearing aid parameter optimization algorithm, that is, using intelligent algorithms to replace hearing aids through patient feedback. The work of experts, thus introducing cognitive factors in disguise

[0004] However, the above-mentioned algorithm still does not make full use of the comprehensive information of patients, such as cognitive ability and fitting process. Therefore, how to build a new self-fitting model based on these data to improve the effect of speech enhancement needs further research

In order to solve the problems existing in the hearing aid fitting method, technicians in related fields have tried their best to find a solution, but no applicable method has been developed for a long time. How to solve the above problems is an urgent need to realize

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