Abstract

This paper addresses the issue of estimating HMM model parameters for noisy speech from clean HMM and noise statistics. The model parameters are estimated by approximating the non-linear function governing the relationship between speech and noise, by a Lagrange polynomial. The results showed significant improvement in performance with this approach.