Noisy speech recognition by using variance adapted hidden Markov models

Shrinkage of variances in HMM due to additive noise is an important factor in speech recognition process. This variance shrinkage can be nonparametrically estimated from a training database. In the Letter we take this factor into account in the projection measure for noisy speech recognition. Experiments show that recognition rates can be improved significantly