Automatic parameter optimization of ε-fllter for acoustical signal based on cross correlation

ε-filter can reduce most kinds of noise from a single-channel noisy signal with preserving the signal that varies drastically such as a speech signal. It can reduce not only stationary noise but also nonstationary noise. However, it has some parameters whose values are set empirically. So far, there are few studies to evaluate the appropriateness of the parameter setting of ε-filter. In this paper, we employ the correlation coefficient of the filter output and the difference between the filter input and output as the evaluation function of the parameter setting. We also show the algorithm to set the optimal parameter value of ε-filter automatically. To evaluate the adequateness of the obtained parameter, we calculate the mean absolute error. The experimental results show that we can obtain the adequate parameter in ε-filter automatically by using the proposed method.