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JHU ASpIRE system: Robust LVCSR with TDNNS, iVector adaptation and RNN-LMS., , , , , and . ASRU, page 539-546. IEEE, (2015)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)Discriminative map for acoustic model adaptation., , and . ICASSP (1), page 312-315. IEEE, (2003)A Teacher-Student Learning Approach for Unsupervised Domain Adaptation of Sequence-Trained ASR Models., , , and . SLT, page 250-257. IEEE, (2018)Speaking rate adaptation using continuous frame rate normalization., and . ICASSP, page 4306-4309. IEEE, (2010)Boosted MMI for model and feature-space discriminative training., , , , , and . ICASSP, page 4057-4060. IEEE, (2008)Low Latency Acoustic Modeling Using Temporal Convolution and LSTMs., , , and . IEEE Signal Process. Lett., 25 (3): 373-377 (2018)LET-Decoder: A WFST-Based Lazy-Evaluation Token-Group Decoder With Exact Lattice Generation., , , , , , and . IEEE Signal Process. Lett., (2021)Fast and parallel decoding for transducer., , , , , , , , and . CoRR, (2022)