A HMM training algorithm based on grouping multiple observations by multiple correlation coefficient
Xin Wang · Journal of Central China Normal University · 2003
This paper proposes a HMM training algorithm which is based on grouping multiple observations by multiple correlation coefficient .It avoids computing the conditional probabilities directly and considers the correlativity between successive observation vectors and need not increase computation works any more compared with traditional BaumWelch algorithm.