Language recognition by means of ergodic hidden Markov models

This model, which can be trained without user intervention, in addition to modelling the sounds present in a specific language, attempts to capture the typical combinations of sounds specific to that language. It is shown how this model can be extended to include a wider context than that offered by a first order HMM without incurring the excessive computational burden of higher order Markov models