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Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization.

, , , , , , , and . INTERSPEECH, page 2038-2042. ISCA, (2022)

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Fast Training of Deep Neural Networks for Speech Recognition., , , and . ICASSP, page 6884-6888. IEEE, (2020)SPERT: a VLIW/SIMD microprocessor for artificial neural network computations., , , , , and . ASAP, page 178-190. IEEE, (1992)Very Deep Multilingual Convolutional Neural Networks for LVCSR., , , and . CoRR, (2015)Making Deep Belief Networks effective for large vocabulary continuous speech recognition., , , , , and . ASRU, page 30-35. IEEE, (2011)Auto-encoder bottleneck features using deep belief networks., , and . ICASSP, page 4153-4156. IEEE, (2012)Beyond Backprop: Online Alternating Minimization with Auxiliary Variables., , , , , , , , , and 1 other author(s). ICML, volume 97 of Proceedings of Machine Learning Research, page 1193-1202. PMLR, (2019)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)A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets., , , , , , and . ICASSP, page 7632-7636. IEEE, (2022)Federated Acoustic Modeling for Automatic Speech Recognition., , and . ICASSP, page 6748-6752. IEEE, (2021)Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices., , , , and . INTERSPEECH, page 1613-1616. ISCA, (2003)