Title :
Very large vocabulary proper name recognition for directory assistance
Author :
Béchet, Frédéric ; de Mori, Renato ; Subsol, Gérard
Author_Institution :
Univ. of Avignon, France
Abstract :
This paper deals with the difficult task of recognition of a large vocabulary of proper names in a directory assistance application. After a presentation of the related work, it introduces a methodology for rescoring the N-best hypotheses generated by a first step recognition. First experiments give encouraging results and several topics for future research are presented.
Keywords :
computer telephony integration; speech recognition; vocabulary; directory assistance; hypothesis generation; proper name recognition; speech recognition; very large vocabulary; Acoustic distortion; Automatic speech recognition; Error analysis; Hidden Markov models; Lattices; Research and development; Robustness; Speech recognition; Vocabulary;
Conference_Titel :
Automatic Speech Recognition and Understanding, 2001. ASRU '01. IEEE Workshop on
Print_ISBN :
0-7803-7343-X
DOI :
10.1109/ASRU.2001.1034627
