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Effective joint training of denoising feature space transforms and Neural Network based acoustic models., , , , , and . ICASSP, page 5190-5194. IEEE, (2017)Invariant Representations for Noisy Speech Recognition., , , , , and . CoRR, (2016)Trends and advances in speech recognition., , , , , , and . IBM J. Res. Dev., 55 (5): 2 (2011)Large-Scale Language Model Rescoring on Long-Form Data., , , , , , , , , and 1 other author(s). ICASSP, page 1-5. IEEE, (2023)JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition., , , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Scaling shrinkage-based language models., , , , and . ASRU, page 299-304. IEEE, (2009)Language modeling with highway LSTM., , , and . ASRU, page 244-251. IEEE, (2017)Broad phonetic class recognition in a Hidden Markov model framework using extended Baum-Welch transformations., , and . ASRU, page 306-311. IEEE, (2007)N-best entropy based data selection for acoustic modeling., , , , and . ICASSP, page 4133-4136. IEEE, (2012)Prediction of F0 contours from symbolic and numerical variables using continuous conditional random fields., , and . ICASSP, page 4621-4624. IEEE, (2012)