基于FFT滤波器组的人工耳蜗CIS算法的ASIC/FPGA实现

Haichen Zhao, X. Deng, Qi Liang, Yixin Zhao
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引用次数: 1

摘要

语音处理器是人工耳蜗中关键的数字信号处理器。语音处理器所采用的语音处理算法的性能直接关系到人工耳蜗的整体功耗、尺寸和性能。CIS (Continuous Interleaved Sampling)算法是人工耳蜗语音处理中最著名和最常用的算法。本文使用FFT(快速傅立叶变换)滤波器组代替传统的IIR(无限脉冲响应)或FIR(有限脉冲响应)滤波器组在频域处理语音。它可以很容易地切换信道,并且在增加相同FFT的信道时带来很少的额外消耗。用FPGA原型进行了真实的语音时序仿真,验证了该设计的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASIC/FPGA implementation of cochlear implant CIS algorithm based on FFT filter bank
Speech processor is the key digital signal processor in a cochlear implant. The performance of the speech processing algorithm utilized by the speech processor is deeply relating the overall power dissipation, size and performances of the cochlear implant. CIS (Continuous Interleaved Sampling) algorithm is the most famous and used algorithm in the cochlear implant speech processing. This article uses a FFT (Fast Fourier Transform) filter bank instead of the traditional IIR (Infinite Impulse Response) or FIR (Finite Impulse Response) filter banks to process the speeches in frequency domain. It can easily switch the channels, and bring little extra consumption when increasing channels with the same FFT. A FPGA prototype is used for real speech timing simulations which prove the advantages of the design.
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