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Margin-space integration of MPE loss via differencing of MMI functionals for generalized error-weighted discriminative training
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PhD thesis, RWTH Aachen University, Aachen, Germany, June
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Heigold, G.1
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On the relation of loss-based error bounds to discriminative training criteria
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submitted to the . (Available by personal communication in the case of rejection.)
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M. Nussbaum-Thom, G. Heigold, R. Schlüter, H. Ney, "On the Relation of Loss-Based Error Bounds to Discriminative Training Criteria", submitted to the Neural Information Processing Systems (NIPS) Conference, 2012. (Available by personal communication in the case of rejection.)
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Neural Information Processing Systems (NIPS) Conference
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Nussbaum-Thom, M.1
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Puerto de Andratx, Spain, June
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H. Ney, "On the Relationship between Classification Error Bounds and Training Criteria in Statistical Pattern Recognition", Iberian Conference on Pattern Recognition and Image Analysis IbPRIA, Puerto de Andratx, Spain, 636-645, June, 2003.
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Modified MMI/MPE: A direct evaluation of the margin in speech recognition
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Helsinki, Finland, July
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G. Heigold, T. Deselaers, R. Schlüter and H. Ney, "Modified MMI/MPE: A Direct Evaluation of the Margin in Speech Recognition", ICML, pp. 384-391, Helsinki, Finland, July, 2008.
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Novel error bounds and discriminative training criteria
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Wiesler, S.2
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10
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PhD thesis, University of Sheffield, Sheffield, UK
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M. Gibson, "Minimum Bayes risk acoustic model estimation and adaptation", PhD thesis, University of Sheffield, Sheffield, UK, 2008.
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Speaker-independent phone recognition using hidden Markov models
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