8. A non-transitory computer-readable storage medium having stored therein instructions which, when executed by a 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.
8. A non-transitory computer-readable storage medium having stored therein instructions which, when executed by a 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. 12. The non-transitory computer-readable storage medium of claim 8 , wherein having the pronunciation probabilities in the language model provides for wide context pronunciation modeling which enables the determination of a probability of observing a particular word with a particular pronunciation based on a long-word/pronunciation history.