| Hearing plays an important role in people's communication.However,with the increasing problem of aging,more and more people suffer from hearing loss.When hearing loss is serious,it will not only cause physical and psychological problems,but also increase stress for families and society.The hearing aid is an effective method for hearing loss.Digital hearing aid are gradually replacing traditional analog hearing aid.The algorithm determines the performance of the digital hearing aid.Loudness compensation is one of the most important algorithms in digital hearing aid.It amplify the sound for the patient.But if the damage is serious,loudness compensation is difficult to have a better effect.The dissertation will research the customized multi-channel loudness compensation algorithm and frequency transposition algorithm.In order to realize customized configuration in hearing aids,a configurable multi-channel loudness compensation algorithm is implemented.We corrected the sound pressure level by formula derivation and experiment.And according to the auditory frequency characteristics to divide non-isometric multi-channel.By setting the number of channels and the starting point of each channel,we can flexibly adjust the channels.The simulation results show that the algorithm can amplify the sound according to the channel division and the compensation curve of each channel.In order to solve the limited effect of the loudness compensation algorithm when the patient's high frequency is loss seriously,a frequency transposition compression algorithm is implemented.The algorithm uses a quadrature mirror filter bank to split the signal into low and high frequency signals,and compress and move the high frequency signal to the low frequency band.The algorithm also estimates the high frequency energy to control algorithm.The simulation results show that the algorithm can effectively move the high frequency signal to the low frequency band with its original frequency distribution. |
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