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Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling.. ICASSP, page 3761-3764. IEEE, (2009)Representation based meta-learning for few-shot spoken intent recognition., , , , , and . CoRR, (2021)Data Augmentation for Deep Neural Network Acoustic Modeling., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (9): 1469-1477 (2015)Deep convolutional neural networks for LVCSR., , , and . ICASSP, page 8614-8618. IEEE, (2013)An evaluation of a nonlinear feature transformation for conversational speech recognition., and . ICASSP (1), page 785-788. IEEE, (2004)End-to-end ASR-free keyword search from speech., , , , and . ICASSP, page 4840-4844. IEEE, (2017)Toward domain-independent conversational speech recognition., , , , , , , and . INTERSPEECH, page 1881-1884. ISCA, (2003)End-to-End Spoken Language Understanding Using Transformer Networks and Self-Supervised Pre-Trained Features., , , , and . ICASSP, page 7483-7487. IEEE, (2021)High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction., , and . ISIT, page 2613-2618. IEEE, (2023)SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation Training., , , , , and . NIPS, page 619-625. MIT Press, (1995)