Third International Conference on Spoken Language Processing (ICSLP 94)

Yokohama, Japan
September 18-22, 1994

Sub-Dictionary Statistical Modeling for Isolated Word Recognition

Bruno Jacob, Regine André-Obrecht

IRIT - Université Paul Sabatier - URA CNRS 1399, Toulouse, France

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.

Full Paper

Bibliographic reference.  Jacob, Bruno / André-Obrecht, Regine (1994): "Sub-dictionary statistical modeling for isolated word recognition", In ICSLP-1994, 863-866.