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.