• Hidden Markov Model

• Each HMM corresponds to an acoustic unit such as a phone or a syllable

• Output probability distributions are modeled by multi-variate Gaussians

• Flexible algorithms are known which allow the HMMs to learn the structure of the data during training in a relatively unconstrained manner