A word like phonetic sequence statistical source model for large lexicon automatic speech recognition systems
Alessandro Falaschi · 1987
Here is presented a phonetic source model whose parameters, estimated from phonetically transcribed texts, reflect the non-stationary phoneme conditional probability which is proper of a given language.Such a model will gi ve a priori knowledges about the allowed phonetic sequences probabilities for a very large vocabulary speech recognizer, where the lexical access is made after phonetic decoding.After a discussion about the probability estimation method, model features and performances are given.