基于FFT和FIR滤波的语音数据处理研究

Research on speech signal processing based on FFT and the FIR

为解决嵌入式系统对语音处理的速度和存储空间等有较高要求的问题,研究采用快速傅立叶变换(FFT)和FIR滤波实现语音信号处理,通过MATLAB仿真软件进行了验证.结果表明,这种先进行FFT变换后进行FIR滤波的综合算法,在处理复杂语音信号时具有较高的效率,并可用于嵌入式系统中,为采用FFT算法改进语音数据处理效果提供了参考.

The processing technology of the voice signal is studied with Fast Fourier Transform（FFT） and FIR filtering in order to solve the problem that need higher requirements of processing speed and storage space as the voice signal is processed with an embedded system.It turns out that the algorithm is effective as the test is made by MATLAB software.The synthesis algorithm which FIR filtering is made after FFT is performed can be used for an embedded system.A reference is provided for improving on the effect of the voice signal processing.