Second International Conference on Spoken Language Processing (ICSLP'92)
Banff, Alberta, Canada
It is well known  that the lexicon of any large vocabulary dictation system will have to be tuned to the end user's application. This would be no great problem if lexical entries in standard orthographic or phonemic representation were adequate. However, it appears that recognition performance is much improved if the lexical models can be specified so as to be in accordance with the peculiarities of the Acoustic Front-End (AFE) of the recognizer. This makes updating the lexicon a tedious, error prone process, that requires expertise far beyond what can be expected from the average end user. In a similar vein, during the initial development of a large vocabulary dictation system the recognition performance can be much improved if the lexical models are well adapted to the AFE. Here too, the creation of the lexicon can become almost prohibitive if it must be done completely by hand- For these reasons we have developed a completely automatic procedure for adapting the lexicon to the AFE. We have used this tool in the conversion of an existing Isolated Word Speech Recognition from Italian  to Dutch. Use of the tool proved to speed up the development of the systems enormously. The work reported here was done in the framework of the ESPRIT Project POLYGLOT. keywords: Isolated-Word-Recognition preselection lexicon
Bibliographic reference. Roddeman, R. / Drexler, H. / Boves, Louis (1992): "Automatic derivation of lexical models for a very large vocabulary speech recognition system", In ICSLP-1992, 173-176.