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Leveraging word confusion networks for named entity modeling and detection from conversational telephone speech., , , , and . Speech Communication, 54 (3): 491-502 (2012)A convex hull approach to sparse representations for exemplar-based speech recognition., , , , and . ASRU, page 59-64. IEEE, (2011)Making Deep Belief Networks effective for large vocabulary continuous speech recognition., , , , , and . ASRU, page 30-35. IEEE, (2011)Factor analysis invariant to linear transformations of data., , and . ICSLP, ISCA, (1998)Feature Combination Approaches for Discriminative Language Models., , and . INTERSPEECH, page 617-620. ISCA, (2011)Using deep bidirectional recurrent neural networks for prosodic-target prediction in a unit-selection text-to-speech system., , , and . INTERSPEECH, page 1606-1610. ISCA, (2015)Query-by-example Spoken Term Detection For OOV terms., , and . ASRU, page 404-409. IEEE, (2009)Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition., , , , and . ICASSP, page 5572-5575. IEEE, (2011)Application specific loss minimization using gradient boosting., , , and . ICASSP, page 4880-4883. IEEE, (2011)Distributed training of large scale exponential language models., , and . ICASSP, page 5520-5523. IEEE, (2011)