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Asynchronous Decentralized Distributed Training of Acoustic Models.

, , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)

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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)Very Deep Multilingual Convolutional Neural Networks for LVCSR., , , and . CoRR, (2015)Estimating Information Flow in Neural Networks., , , , , , and . CoRR, (2018)Recognizing reverberant speech with RASTA-PLP., and . ICASSP, page 1259-1262. IEEE Computer Society, (1997)Data augmentation for deep convolutional neural network acoustic modeling., , and . ICASSP, page 4545-4549. IEEE, (2015)A hybrid HMM/traps model for robust voice activity detection., , and . INTERSPEECH, page 1073-1076. ISCA, (2002)Distributed speech recognition using noise-robust MFCC and traps-estimated manner features., , and . INTERSPEECH, page 473-476. ISCA, (2002)Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices., , , , and . INTERSPEECH, page 1613-1616. ISCA, (2003)