Interactive self-fitting method for intelligent hearing aid

Abstract

The invention discloses an interactive self-fitting method for an intelligent hearing aid, and the method comprises the following steps: 1, a hearing impaired patient listening to test voice emitted by the hearing aid for five-stage evaluation, and forming a hearing aid sound quality evaluation index; 2, forming a feature sequence according to the 11-dimensional audiogram, the 3-dimensional personalized information and the voice evaluation of the patient, and then calculating the similarity between the feature sequence and the feature sequence in the fitting historical database; 3, designing a value function of parameter adjustment, and calculating the value of a parameter adjustment strategy, so that the value of each parameter adjustment is maximized; 4, constructing a neural network, and obtaining the weight of the neural network; and 5, inputting the test voice frequency spectrum, the voice evaluation, the patient personality information and three continuous groups of historical parameter adjustment strategies into the neural network, and regenerating the test voice to the hearing impaired patient for evaluation. The subjective and objective voice evaluation method is comprehensively considered, the deep learning network is combined, cognition and personal factors are integrated into the hearing aid design, and the application prospect is good.

Description

technical field [0001] The invention relates to an interactive self-fitting technology for intelligent hearing aids, belonging to the technical field of hearing aids fitting. Background technique [0002] Due to the degeneration of cognitive ability of hearing-impaired patients, the efficiency of traditional methods is very low, and the design concept of fitting by patients themselves has gradually become a research hotspot. Currently, the simplest self-fitting method is to let users choose from a small number of pre-programmed algorithm configurations. This method mainly depends on the optimization strategy of the mode, that is, how well the preset matches the user group. [0003] Related studies have shown that more complex interactive self-fitting methods can better reflect the individual differences of patients. With the development of smartphones and earphones, the concept of self-fitting hearing aids has received more and more attention. The effectiveness of early he...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the problem that the traditional hearing aid fitting method relies heavily on hearing experts, and aims t

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