A hearing aid noise reduction method based on personal data and an artificial neural network
An artificial neural network and neural network technology, applied in the field of noise reduction algorithms for digital hearing aids, can solve problems such as unsatisfactory noise reduction effects, and achieve the effects of optimizing user experience and improving noise reduction accuracy.
Inactive Publication Date: 2019-05-03
TIANJIN UNIV
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[0005] Since the daily environment and communicators of each hearing aid user are different, the characteristics of speech signals and noise signals are also very different. Therefore, the noise reduction effect achieved by using conventional noise reduction algorithms is not very good. ideal
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[0028] The invention belongs to the field of hearing aid noise elimination algorithm design, and relates to a digital hearing aid noise reduction algorithm located in a portable intelligent terminal based on user personal data and a BP artificial neural network. The invention recognizes and stores the speech segment by analyzing the speech signal received by the hearing aid user, and uses the stored enough speech information to train the BP artificial neural network. By training the optimization and adjustment of the weights and thresholds of each layer of the neural network, a mature BP artificial neural network can be obtained to modify the conventional speech noise reduction formula, so that the hearing aid users can obtain a clearer noise reduction optimized for their individual. Post-noise speech.
[0029] The invention provides a noise reduction algorithm for digital hearing aids based on BP artificial neural network. The noise reduction algorithm uses the parameters ob...
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The invention belongs to the technical field of hearing aid noise elimination, and provides a mature noise reduction algorithm fitting the individual of a user. Therefore, the technical scheme adoptedby the invention is that the hearing aid noise reduction method based on the personal data and the artificial neural network comprises the following steps of: analyzing a voice signal received by a hearing aid user, identifying and storing a session segment, and training the BP artificial neural network by utilizing a sufficient amount of stored voice information. According to the method, the mature BP artificial neural network is obtained by optimizing and adjusting the weight value and the threshold value of each layer of the neural network through training to correct a conventional voice noise reduction formula, so that a hearing aid user can obtain clearer noise-reduced voice optimized by himself / herself. The method is mainly applied to hearing aid designing and manufacturing occasions.
Description
technical field [0001] The invention belongs to the field of hearing aid noise elimination algorithm design, and relates to a digital hearing aid noise reduction algorithm located in a portable intelligent terminal based on user personal data and a BP artificial neural network. Background technique [0002] At present, the problem of aging in the world is becoming more and more serious, and the proportion of the elderly in China is also increasing year by year, making China one of the countries with the fastest aging population in the world. It is estimated that by the middle of this century, nearly 500 million people in China will meet the World Health Organization's standards for elderly people. [0003] Hearing loss is one of the most common chronic diseases in the elderly. According to the World Health Organization in 2015, 5% of the world's population suffers from disabling hearing loss, and most of them are older adults. Hearing loss may lead to more serious psycholo...
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IPC IPC(8): H04R25/00
Inventor 陈霏张雨晨
Owner TIANJIN UNIV