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Distributed Deep Learning Strategies for Automatic Speech Recognition., , , , , , and . ICASSP, page 5706-5710. IEEE, (2019)Fast Training of Deep Neural Networks for Speech Recognition., , , and . ICASSP, page 6884-6888. IEEE, (2020)Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks., , , and . IEEE Trans. Speech Audio Process., 21 (11): 2267-2276 (2013)Estimating Information Flow in Neural Networks., , , , , , and . CoRR, (2018)Very Deep Multilingual Convolutional Neural Networks for LVCSR., , , and . CoRR, (2015)Federated Acoustic Modeling for Automatic Speech Recognition., , and . ICASSP, page 6748-6752. IEEE, (2021)Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models., , , and . ICASSP, page 8127-8131. IEEE, (2022)A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets., , , , , , and . ICASSP, page 7632-7636. IEEE, (2022)SPERT: a VLIW/SIMD microprocessor for artificial neural network computations., , , , , and . ASAP, page 178-190. IEEE, (1992)Asynchronous Decentralized Distributed Training of Acoustic Models., , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)