Title
Language modeling for multi-domain speech-driven text retrieval
Abstract
We report experimental results associated with speech-driven text retrieval, which facilitates retrieving information in multiple do- mains with spoken queries. Since users speak contents related to a target collection, we produce language models used for speech recognition based on the target collection, so as to improve both the recognition and retrieval accuracy. Experiments using existing test collections combined with dictated queries showed the effec- tiveness of our method.
Year
DOI
Venue
2002
10.1109/ASRU.2001.1034653
Clinical Orthopaedics and Related Research
Keywords
DocType
Volume
information retrieval,linguistics,speech recognition,speech-based user interfaces,dictated queries,language models,multi-domain speech-driven text retrieval,retrieval accuracy,speech-driven text retrieval,spoken queries,target collection,language model
Journal
cs.CL/0206
ISSN
ISBN
Citations 
IEEE Automatic Speech Recognition and Understanding Workshop, Dec. 2001
0-7803-7343-X
2
PageRank 
References 
Authors
0.41
6
3
Name
Order
Citations
PageRank
Katunobu Itou131944.36
Atsushi Fujii248659.25
Tetsuya Ishikawa3706.30