Many probabilistic approaches to modeling sequences have relied on directed graphical models, also known as Bayesian networks (BN), 1 in particular hidden Markov models (Rabiner, 1989) and conditional Markov models (McCallum et al., 2000).
it achieves 34.8% WER on the iCSi corpus, which is indicative of the difficulty involved in processing meetings automatically.