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Natural Language Modeling for Phoneme-to-Text Transcription
June 1986 (vol. 8 no. 6)
pp. 742-749
Anne-Marie Derouault, IBM France Scientific Center, 36 Avenue Raymond Poincaré, 75116 Paris, France.
Bernard Merialdo, IBM France Scientific Center, 36 Avenue Raymond Poincaré, 75116 Paris, France.
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.
Citation:
Anne-Marie Derouault, Bernard Merialdo, "Natural Language Modeling for Phoneme-to-Text Transcription," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 742-749, June 1986, doi:10.1109/TPAMI.1986.4767855
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