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NAACL
2010
14 years 7 months ago
Unsupervised Model Adaptation using Information-Theoretic Criterion
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
ICASSP
2011
IEEE
14 years 1 months ago
A segment-level confidence measure for Spoken Document Retrieval
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
Grégory Senay, Georges Linares, Benjamin Le...
156
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CIKM
2011
Springer
13 years 9 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
RIAO
2000
14 years 10 months ago
The TREC Spoken Document Retrieval Track: A Success Story
This paper describes work within the NIST Text REtrieval Conference (TREC) over the last three years in designing and implementing evaluations of Spoken Document Retrieval (SDR) t...
John S. Garofolo, Cedric G. P. Auzanne, Ellen M. V...
ICASSP
2008
IEEE
15 years 3 months ago
Phonetic pronunciations for arabic speech-to-text systems
In this paper two aspects of generating and using phonetic Arabic dictionaries are described. First, the use of single pronunciation acoustic models in the context of Arabic large...
Frank Diehl, Mark J. F. Gales, Marcus Tomalin, Phi...