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Digital Hearing Aid for Sensorineural Hearing Loss : (Ski-Slope Hearing Loss)

机译:用于感觉神经性听力损失的数字助听器:(滑雪坡听力损失)

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摘要

Hearing loss, also known as hearing impairment is a partial or total inability to hear. Noise is one of the cause of hearing loss. Hearing aid is an electroacoustic device which is designed to amplify sound. 5.3 percent of earth's population suffer from hearing loss. The functionality and technical performance of DSP hearing aids are more efficient compared to analog hearing aids. Digital hearing aids are self-adjusting and flexible. In this way, the sound it transmits matches the specific pattern of hearing loss. Adaptive filtering is used which effectively cancels out the additive noise by changing the filter coefficients over time and adapts to the changing signal characteristics according to an optimization algorithm. Gain is selectively added at higher frequency according to the person's hearing loss profile. This allows for a convenient, detailed control of the frequency response of the hearing aid. Finally the processed signal undergoes power check to assure that the signal power is less than the threshold of pain. A spectrogram which gives a representation of how the frequency content of a signal changes with time is plotted. The MATLAB provides graphics for visualizing data and toolboxes for a wide range of engineering and scientific applications.
机译:听力损失,也称为听力障碍,是部分或全部听不见的声音。噪音是听力损失的原因之一。助听器是一种电声设备,旨在放大声音。地球人口的5.3%患有听力损失。与模拟助听器相比,DSP助听器的功能和技术性能更加有效。数字助听器具有自我调节功能和灵活性。这样,它传输的声音与特定的听力损失模式相匹配。使用自适应滤波,该滤波通过随时间改变滤波器系数来有效消除附加噪声,并根据优化算法适应变化的信号特性。根据人的听力损失情况,以较高的频率选择性地增加增益。这样可以方便,详细地控制助听器的频率响应。最后,对处理后的信号进行功率检查,以确保信号功率小于疼痛阈值。绘制频谱图,表示信号的频率内容如何随时间变化。 MATLAB提供了用于可视化各种工程和科学应用程序中的数据和工具箱的图形。

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