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ICASSP
2011
IEEE
12 years 8 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...
AND
2010
13 years 3 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
ICASSP
2009
IEEE
13 years 9 months ago
Improved lattice-based spoken document retrieval by directly learning from the evaluation measures
Lattice-based approaches have been widely used in spoken document retrieval to handle the speech recognition uncertainty and errors. Position Specific Posterior Lattices (PSPL) an...
Chao-hong Meng, Hung-yi Lee, Lin-shan Lee
LREC
2008
134views Education» more  LREC 2008»
13 years 6 months ago
Evaluation of Spoken Document Retrieval for Historic Speech Collections
The re-use of spoken word audio collections maintained by audiovisual archives is severely hindered by their generally limited access. The CHoral project, which is part of the CAT...
Willemijn Heeren, Franciska de Jong, Laurens van d...
SIGIR
2000
ACM
13 years 8 months ago
Effects of out of vocabulary words in spoken document retrieval
The effects of out-of-vocabulary (OOV) items in spoken document retrieval (SDR) are investigated. Several sets of transcriptions were created for the TREC-8 SDR task using a speec...
Philip C. Woodland, Sue E. Johnson, P. Jourlin, Ka...