基于听觉感知小波变换的电子耳蜗CIS语音信号处理

为克服以往滤波器组参数调整复杂，提出了一种听觉感知的小波变换的电子耳蜗语音处理的方法。文章在连续交替取样CIS（Confinuous Interleaved Sampling）语音信号处理方案的基础上，利用人耳听觉的临界频率与听觉感知的小波变换域的相似性，进行了电子耳蜗输出信号的重构，采用短时傅立叶变换的语谱图分析。实验结果表明：本方法获得的合成语音与原始语音在频谱包络特征上非常相似，频域特征里接近入耳的实际生理特性。

CIS Strategy for Cochlear Implants with Auditory Perception Wavelet Transform

A new method on the basis of auditory perception wavelet transform was presented to easily adjust the parameters of filter bank. On the basis of Continuous Interleaved Sampling speech signal processing and according to the similarity between critical band of human auditory system and auditory perception wavelet transform, reconstruct the output signal of electronic cochlea. Carry on spectrographic analysis with Short Time Fourier Transform. The experiment results show that the synthetic speech signal achieved in this paper is quite similar to the original speech signal on the frequency spectrum envelope character, the frequency domain character is much more close to human physiological characteristic.