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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups

, , , , , , , , , , and . IEEE Signal Processing Magazine, 29 (6): 82--97 (2012)

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Speech Recognition With Flat Direct Models., , and . J. Sel. Topics Signal Processing, 4 (6): 994-1006 (2010)Uncertainty in training large vocabulary speech recognizers., , , and . ASRU, page 484-489. IEEE, (2007)On rectified linear units for speech processing., , , , , , , , , and 1 other author(s). ICASSP, page 3517-3521. IEEE, (2013)Piecewise linear constraints for model space adaptation., , , and . ICASSP, page 597-600. IEEE, (2002)Integrating meta-information into exemplar-based speech recognition with segmental conditional random fields., , , , and . ICASSP, page 5048-5051. IEEE, (2011)Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop., , , , , , , , , and 6 other author(s). ICASSP, page 5044-5047. IEEE, (2011)Eigenfaces and eigenvoices: dimensionality reduction for specialized pattern recognition., , , and . MMSP, page 71-76. IEEE, (1998)No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models., , , , , , , , , and 2 other author(s). CoRR, (2017)StarNet: Targeted Computation for Object Detection in Point Clouds., , , , , , , , , and 3 other author(s). CoRR, (2019)Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models., , , , , , and . CoRR, (2017)