Generally, cochlear implant system consists of one or more electrodes which directly activate the auditory nerve. The microphone transforms external speech processor input into stimuli for each electrode and transcutaneous the connection between the electrodes and processor. As a result, cochlear implants continue to improve the performance of speech processor. After the implantation, preservation gains importance in acoustic hearing to prevent the neural degradation from the loss of cells. Eventually, the possibility of preserving low-frequency and high-frequency hearing using modified surgical technique has been explored for hearing in cochlear implantation. The primary focus on the architecture is to reduce the major potential thread performance and power trade-off. So, frequency mapping function with modified FIR filter has been proposed. For this implementation, the values relative to the frequency range defines upper and lower stimulus limits of each electrode. The proposed FIR filter is designed with distributed arithmetic function where the reconfigurable FIR filter can change the filter input coefficients. By scaling both the frequency ranges and by assessing the deriving frequency parameters, the mapping function will be yielded. Mapping function is manipulated to rectify any mapping deviations. This results in favor of the development of frequency specific mapping function with flexible system. From the proposed results, it is evident that the speech recognition performance is improved significantly by better minimization of overall energy consumption based on effective and pipelined FFT architecture. This implementation also reduces the power and improves the accuracy by 90% and above for different frequency ranges.

中文翻译：

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使用具有可变频率映射的改进 FIR 滤波器设计基于低功率语音处理器的人工耳蜗

通常，人工耳蜗系统由一个或多个直接激活听神经的电极组成。麦克风将外部语音处理器输入转换为每个电极的刺激，并经皮连接电极和处理器之间的连接。因此，人工耳蜗不断提高语音处理器的性能。植入后，保存在听觉中变得越来越重要，以防止细胞丢失导致神经退化。最终，已经探索了使用改良的手术技术保留低频和高频听力的可能性，以用于人工耳蜗植入中的听力。架构的主要关注点是减少主要的潜在线程性能和功耗权衡。因此，提出了带有改进的 FIR 滤波器的频率映射函数。对于此实现，与频率范围相关的值定义了每个电极的刺激上限和下限。所提出的 FIR 滤波器设计有分布式算术函数，其中可重构 FIR 滤波器可以改变滤波器的输入系数。通过缩放频率范围和评估派生频率参数，将产生映射函数。映射功能被操纵以纠正任何映射偏差。这有利于开发具有灵活系统的频率特定映射功能。从所提出的结果可以看出，语音识别性能通过基于有效和流水线 FFT 架构更好地最小化整体能耗而显着提高。