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Semi-Markov Process Based Localization Using Radar in Dynamic Environments.

, , , , and . ITSC, page 423-429. IEEE, (2015)

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Semi-Markov Process Based Localization Using Radar in Dynamic Environments., , , , and . ITSC, page 423-429. IEEE, (2015)Sparse activity and sparse connectivity in supervised learning., and . J. Mach. Learn. Res., 14 (1): 1091-1143 (2013)Neural Language Model Pruning for Automatic Speech Recognition., , , , and . CoRR, (2023)Application-Agnostic Language Modeling for On-Device ASR., , and . ACL (industry), page 268-275. Association for Computational Linguistics, (2023)Towards a World-English Language Model for On-Device Virtual Assistants., , , , , and . CoRR, (2024)Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units., , , and . INTERSPEECH, page 390-394. ISCA, (2016)Knowledge distillation across ensembles of multilingual models for low-resource languages., , , , , , , , and . ICASSP, page 4825-4829. IEEE, (2017)The RWTH Aachen German and English LVCSR systems for IWSLT-2013., , , , , , and . IWSLT (Evaluation Campaign), (2013)On the Relationship Between Bayes Risk and Word Error Rate in ASR., , and . IEEE Trans. Speech Audio Process., 19 (5): 1103-1112 (2011)Investigations on neural networks, discriminative training criteria and error bounds.. RWTH Aachen University, Germany, (2020)