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» Combining Multiple Models for Speech Information Retrieval
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CLEF
2005
Springer
15 years 3 months ago
Content-Based Retrieval of Medical Images by Combining Global Features
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Mark Oliver Güld, Christian Thies, Benedikt F...
ICASSP
2010
IEEE
14 years 9 months ago
Vocabulary and language model adaptation using just one speech file
This paper investigates unsupervised vocabulary and language model self-adaptation (VLA) from just one speech file using the web as a knowledge source and without prior knowledge...
Sha Meng, Kishan Thambiratnam, Yimeng Lin, Lifang ...
ACL
1997
14 years 11 months ago
Retrieving Collocations by Co-occurrences and Word Order Constraints
In this paper, we describe a method for automatically retrieving collocations from large text corpora. This method retrieve collocations in the following stages: 1) extracting str...
Sayori Shimohata, Toshiyuki Sugio, Junji Nagata
CIKM
2009
Springer
15 years 4 months ago
Effective and efficient structured retrieval
Search engines that support structured documents typically support structure created by the author (e.g., title, section), and may also support structure added by an annotation pr...
Le Zhao, Jamie Callan
ICASSP
2008
IEEE
15 years 4 months ago
Analysis-by-synthesis features for speech recognition
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...
Ziad Al Bawab, Bhiksha Raj, Richard M. Stern