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A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition.

, , , , , , , , and . INTERSPEECH, page 2628-2632. ISCA, (2019)

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Distributed Deep Learning Strategies for Automatic Speech Recognition., , , , , , and . ICASSP, page 5706-5710. IEEE, (2019)Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition., , , , and . ICASSP, page 4759-4763. IEEE, (2018)Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system., , , , and . ICASSP, page 53-56. IEEE, (2002)Semi-Autoregressive Streaming ASR With Label Context., , , and . CoRR, (2023)Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems., , , , and . CoRR, (2023)Exploring the limits of decoder-only models trained on public speech recognition corpora., , and . CoRR, (2024)Recent advances in conversational speech recognition using convolutional and recurrent neural networks., and . IBM J. Res. Dev., 61 (4-5): 1:1-1:10 (2017)Asynchronous Decentralized Distributed Training of Acoustic Models., , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Speech Recognition Using Biologically-Inspired Neural Networks., , , , , and . ICASSP, page 6992-6996. IEEE, (2022)Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models., , , and . ICASSP, page 8127-8131. IEEE, (2022)