BP-artificial-neural-network-based intelligent matching algorithm for digital hearing aid

An artificial neural network and hearing aid technology, applied in the field of fitting algorithms, can solve problems such as poor effect of deaf patients and inconvenient fitting work.

Active Publication Date: 2017-05-24
SHENZHEN EARTECH CO LTD
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AI Technical Summary

Problems solved by technology

Although these commonly used fitting formulas have their own advantages, they are less effective for deaf patients with severe hearing impairment, and because different patients

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  • BP-artificial-neural-network-based intelligent matching algorithm for digital hearing aid

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing, the present invention will be further described:

[0027] An intelligent fitting algorithm for digital hearing aids based on BP artificial neural network actually uses the existing audiogram and spectral gain response as training data to train BP artificial neural network, and estimates and predicts new patients through the trained network. Further speaking, it is to use the BP artificial neural network optimized by the principle of genetic algorithm, and use the existing audiogram and spectral gain response as training data to train the BP artificial neural network, and at the same time use the model of the fitting formula to correct the trained network Finally, a mature digital hearing aid fitting algorithm based on BP artificial neural network is obtained. The specific process steps are as follows:

[0028] (1) Construct a BP artificial neural network. The BP artificial neural network used in this embodiment is a multi...

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Abstract

The invention discloses a BP-artificial-neural-network-based intelligent matching algorithm for a digital hearing aid. On the basis of a BP artificial neural network, a network is trained by using lots of training data to obtain a satisfactory mature network; and the network is corrected by using a self-built formula model, thereby obtaining a mature intelligent matching algorithm. On the basis of the genetic algorithm principle, an initial weight value and a threshold of a BP artificial neural network are optimized; the BP neural network is trained by using an existing audiogram and a spectrum gain response as raining data; and the network is corrected based on a matching formula model to obtain a mature BP artificial neural network to replace the existing matching prescription formula, so that parameters like all channel gains, the maximum sound output, the compression rate, and the compression inflection point of the digital hearing aid can be obtained.

Description

technical field [0001] The invention belongs to a fitting algorithm in the field of digital hearing aids, and more specifically, relates to an intelligent fitting algorithm for digital hearing aids based on a BP artificial neural network. The algorithm is based on a BP artificial neural network and trains the network through a large amount of training data. , get a satisfactory mature network, and use the self-established formula model to correct the network, so as to obtain a mature intelligent fitting algorithm. Background technique [0002] At present, the problem of population aging in China is becoming more and more serious. By 2030, the proportion of the elderly population in China will be close to 30%. Deafness is a common disease of the elderly. With the increase of the elderly population, the number of elderly people suffering from deafness is increasing. The demand for hearing aids is increasing day by day. [0003] The birth of digital hearing aids has laid a sol...

Claims

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Application Information

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IPC IPC(8): H04R25/00
CPCH04R25/507H04R2225/43
Inventor 陈霏王帅姬俊宇
Owner SHENZHEN EARTECH CO LTD
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