This paper deals with the problem of estimation of a speech signal corrupted by an additive noise when observations from two microphones are available. The basic method for noise reduction using the coherence function is modified by using wavelets. The both observations are splitted by filter bank in five narrow bands through the whole used bandwidth (0...4kHz). The coherence functions are then computed for each band and the output speech estimation is reconstructed.