An approach to robust unsupervised speaker adaptation
Nam Soo Kim, Dong Jin Seo, Woohyung Lim · IEEE Signal Processing Letters · 2005
In this letter, we propose an approach to robust unsupervised speaker adaptation. Usually, recognition errors made on the adaptation utterances mislead parameter estimation when a speaker adaptation algorithm is operated in an unsupervised mode. In order to alleviate this problem, we first adapt a Gaussian mixture model (GMM) and then transform the hidden Markov model (HMM) parameters according to the information extracted from GMM adaptation.