ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

Sub-dictionary statistical modeling for isolated word recognition

Bruno Jacob, Regine André-Obrecht

A lexical access using a two-stage algorithm based on the description of the lexicon into two types of units is proposed. To access to a sub-dictionnary, phonetic classes are used to build an HMM. Then this sub-dictionary is modeled by a temporary HMM, with pseudo-diphones units, to produce the recognized word. An acoustic pre-processing adapted to the pseudo-diphone decomposition and an adequate "HMM Compiler" toolkit are used in this application. Experiments are made to evaluate this approach with the 500 most frequents words in french language.


Cite as: Jacob, B., André-Obrecht, R. (1994) Sub-dictionary statistical modeling for isolated word recognition. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 863-866

@inproceedings{jacob94_icslp,
  author={Bruno Jacob and Regine André-Obrecht},
  title={{Sub-dictionary statistical modeling for isolated word recognition}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={863--866}
}