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Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition.

, , , , , and . EURASIP J. Audio Speech Music. Process., 2021 (1): 26 (2021)

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Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems., , , and . SPECOM, volume 11658 of Lecture Notes in Computer Science, page 530-539. Springer, (2019)Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing., , , and . IEEE Access, (2021)Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition., , , , , and . EURASIP J. Audio Speech Music. Process., 2021 (1): 26 (2021)Regularized Forward-Backward Decoder for Attention Models., , , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 786-794. Springer, (2021)Induced Local Attention for Transformer Models in Speech Recognition., , , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 795-806. Springer, (2021)Enhancements for Hybrid and End-to-End Speech Recognition Architectures (Erweiterungen für hybride und Ende-zu-Ende Spracherkennungssysteme). Technical University of Munich, Germany, (2023)Regularized Forward-Backward Decoder for Attention Models., , , and . CoRR, (2020)Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition., , , , and . SPECOM, volume 12335 of Lecture Notes in Computer Science, page 255-266. Springer, (2020)Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes., , , , and . SPECOM, volume 11658 of Lecture Notes in Computer Science, page 258-269. Springer, (2019)Synchronized Forward-Backward Transformer for End-to-End Speech Recognition., , , and . SPECOM, volume 12335 of Lecture Notes in Computer Science, page 646-656. Springer, (2020)