15. A system comprising: a processor, and a non-transitory computer-readable medium having stored therein instructions which, when executed by the processor, cause the processor to perform a method comprising: training a language model by approximating large quantities of transcribed speech using a plurality of speaker dependent phonemic transcription based datasets that are based on pronunciation models obtained for each of a plurality of speakers; incorporating, in the language model, pronunciation probabilities associated with respective unique labels for each different pronunciation of a word, wherein the respective unique labels for most frequent words and most frequent word pairs indicate a special status in the language model; removing, from a pronunciation dictionary, the pronunciation probabilities; applying an utterance to a recognizer with the language model to yield a recognition result; and presenting the recognition result for the utterance.
15. A system comprising: a processor, and a non-transitory computer-readable medium having stored therein instructions which, when executed by the processor, cause the processor to perform a method comprising: training a language model by approximating large quantities of transcribed speech using a plurality of speaker dependent phonemic transcription based datasets that are based on pronunciation models obtained for each of a plurality of speakers; incorporating, in the language model, pronunciation probabilities associated with respective unique labels for each different pronunciation of a word, wherein the respective unique labels for most frequent words and most frequent word pairs indicate a special status in the language model; removing, from a pronunciation dictionary, the pronunciation probabilities; applying an utterance to a recognizer with the language model to yield a recognition result; and presenting the recognition result for the utterance. 17. The system of claim 15 , wherein at least one of contextual dependencies and consistency in pronunciation style exist throughout the utterance.