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JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS., , , , , and . ASRU, page 539-546. IEEE, (2015)Discriminative map for acoustic model adaptation., , and . ICASSP (1), page 312-315. IEEE, (2003)Morpheme-Based Language Modeling for Arabic Lvcsr., , , and . ICASSP (1), page 1053-1056. IEEE, (2006)Minimum Phone Error and I-smoothing for improved discriminative training., and . ICASSP, page 105-108. IEEE, (2002)A Teacher-Student Learning Approach for Unsupervised Domain Adaptation of Sequence-Trained ASR Models., , , and . SLT, page 250-257. IEEE, (2018)An Empirical Study of Transformer-Based Neural Language Model Adaptation., , , , , , and . ICASSP, page 7934-7938. IEEE, (2020)The 2009 IBM GALE Mandarin broadcast transcription system., , , , , , and . ICASSP, page 4374-4377. IEEE, (2010)A symmetrization of the Subspace Gaussian Mixture Model., , , and . ICASSP, page 4504-4507. IEEE, (2011)Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging., , and . ICLR (Workshop), (2015)Improved discriminative training techniques for large vocabulary continuous speech recognition., and . ICASSP, page 45-48. IEEE, (2001)