Cross-channel correlation for the enhancement of noisy speech

A solution to the problem of the degradation of voiced speech by variable noise is proposed. The proposed method uses a filterbank analyzer to determine which areas of the spectrum contain periodicities. It is assumed that these periodicities are characteristic of voiced speech and that spectral areas which are lacking in periodicity arise from additive random noise. Correlation values, which indicate the amount of periodicity across the spectrum, are used for weights in the resynthesis of enhanced speech. Preliminary experimental results were obtained. These results indicate that the algorithm is useful for identifying noise-free and noisy areas of the spectrum and that some restoration of the original magnitude spectrum is possible.