Modern automatic speech recognition (ASR) systems are based on parametric statistical models such as hidden Markov models (HMMs), exploiting 1) acoustic-phonetic models, which need to be trained on large amount of acoustic data, 2) a language model, which needs to be trained on large amount of text data and, finally, 3) a lexicon with phonetic transcription which requires linguistic expertise. ...