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Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric.

, , , , и . CoRR, (2020)

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Ashish Shrivastava

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NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects., , , , , и . ICCV (Workshops), стр. 4290-4294. IEEE, (2023)Learning Conditional Error Model for Simulated Time-Series Data., и . CVPR Workshops, стр. 91-94. Computer Vision Foundation / IEEE, (2019)Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries., , , и . ACL/IJCNLP (2), стр. 87-92. Association for Computational Linguistics, (2021)SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition., , , , , и . ICASSP, стр. 7682-7686. IEEE, (2022)Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric., , , , и . CoRR, (2020)A Universal Input, Single-Stage AC-DC LED Driver for an Auditorium Light., , и . J. Circuits Syst. Comput., 28 (2): 1950024:1-1950024:24 (2019)Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries., , , и . CoRR, (2020)SapAugment: Learning A Sample Adaptive Policy for Data Augmentation., , , , , , , и . ICASSP, стр. 4040-4044. IEEE, (2021)SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors., , , , , , и . ICCV, стр. 8459-8469. IEEE, (2023)Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 2917-2937. PMLR, (2022)