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Neural Architecture Search for LF-MMI Trained Time Delay Neural Networks., , , , , , and . ICASSP, page 6758-6762. IEEE, (2021)Gaussian Process Lstm Recurrent Neural Network Language Models for Speech Recognition., , , , , and . ICASSP, page 7235-7239. IEEE, (2019)Understanding the wiring evolution in differentiable neural architecture search., , , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 874-882. PMLR, (2021)Exploring linguistic feature and model combination for speech recognition based automatic AD detection., , , , , , , and . INTERSPEECH, page 3328-3332. ISCA, (2022)DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture., , , , , , and . Trans. Mach. Learn. Res., (2022)Exploiting Prompt Learning with Pre-Trained Language Models for Alzheimer's Disease Detection., , , , , , and . ICASSP, page 1-5. IEEE, (2023)On the Use of Pitch Features for Disordered Speech Recognition., , , and . INTERSPEECH, page 4130-4134. ISCA, (2019)LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition., , , , , , , and . INTERSPEECH, page 2793-2797. ISCA, (2019)Gaussian Process Neural Networks for Speech Recognition., , , , , , , and . INTERSPEECH, page 1778-1782. ISCA, (2018)Generalizing Few-Shot NAS with Gradient Matching., , , , , and . ICLR, OpenReview.net, (2022)