This paper describes the use of the wavelet transform as a front-end processor for a speech analysis system. The constant relative bandwidth analysis performed by the wavelet transform is compared to the performance of a cochlear model, which is simulated using cascaded filters. Multi-sampling rate implementations of both models are described. Several spectral plots are presented to illustrate the properties of constant bandwidth analysis and to compare the performance of the models.