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Automated structure discovery and parameter tuning of neural network language model based on evolution strategy.

, , , , , and . SLT, page 665-671. IEEE, (2016)

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Streaming Automatic Speech Recognition with the Transformer Model., , and . ICASSP, page 6074-6078. IEEE, (2020)Multi-Stream End-to-End Speech Recognition., , , , , and . CoRR, (2019)Multi-Pass Transformer for Machine Translation., , , , and . CoRR, (2020)Momentum Pseudo-Labeling: Semi-Supervised ASR With Continuously Improving Pseudo-Labels., , , and . IEEE J. Sel. Top. Signal Process., 16 (6): 1424-1438 (2022)Efficient training of discriminative language models by sample selection., , and . Speech Commun., 54 (6): 791-800 (2012)Variable Attention Masking for Configurable Transformer Transducer Speech Recognition., , , , , , , , , and 2 other author(s). CoRR, (2022)End-to-End Speech Recognition: A Survey., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Efficient Beam Width Control to Suppress Excessive Speech Recognition Computation Time Based on Prior Score Range Normalization., , , , , and . INTERSPEECH, page 1011-1014. ISCA, (2012)Improvements of search error risk minimization in viterbi beam search for speech recognition., , and . INTERSPEECH, page 1962-1965. ISCA, (2010)Fast on-the-fly composition for weighted finite-state transducers in 1.8 million-word vocabulary continuous speech recognition., , and . INTERSPEECH, page 289-292. ISCA, (2004)