A connected speech recognition method based on stochastic modelling of speech is presented. The speech signal is segmented and labelled by a Viterbi-algorithm that finds the optimal path in an acoustic-phonetic Hidden-Markov-Model (HMM) of the language. This HMM is an integration of speech subunit models and a language model on the subunit level.