Dynamic generation of proper name pronunciations for directory assistance

This paper deals with the difficult task of recognition of a large vocabulary of proper names in a directory assistance application. Rather than augmenting the lexicon with alternate pronunciations. which is unsuitable for very large vocabularies of proper names, a class of distortions of the canoni...

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Bibliographic Details
Main Authors: Bechet, Frederic, de Mori, Renato, Subsol, Gerard
Format: Conference Proceeding
Language:English
Subjects:
Equations
Mathematical model
USA Councils
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Summary:This paper deals with the difficult task of recognition of a large vocabulary of proper names in a directory assistance application. Rather than augmenting the lexicon with alternate pronunciations. which is unsuitable for very large vocabularies of proper names, a class of distortions of the canonical form is used as knowledge source (KS) for a new evaluation of the N best hypotheses generated in a first recognition phase, in which new probability distributions are used. The KS is the result of applying constraints inspired by speech science to distortions obtained by automatic learning. Experiments on a very large French directory document the validity of the approach.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2002.5743825