Natural Language Modeling for Phoneme-to-Text Transcription
Anne-Marie Derouault, Bernard Mérialdo · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1986
This paper relates different kinds of language modeling methods that can be applied to the linguistic decoding part of a speech recognition system with a very large vocabulary. These models are studied experimentally on a pseudophonetic input arising from French stenotypy. We propose a model which combines the advantages of a statistical modeling with information theoretic tools, and those of a grammatical approach.