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JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition.

, , , , , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)

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Ramabhadran Narasimhan

 

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Effective joint training of denoising feature space transforms and Neural Network based acoustic models., , , , , и . ICASSP, стр. 5190-5194. IEEE, (2017)Invariant Representations for Noisy Speech Recognition., , , , , и . CoRR, (2016)Broad phonetic class recognition in a Hidden Markov model framework using extended Baum-Welch transformations., , и . ASRU, стр. 306-311. IEEE, (2007)Language modeling with highway LSTM., , , и . ASRU, стр. 244-251. IEEE, (2017)Scaling shrinkage-based language models., , , , и . ASRU, стр. 299-304. IEEE, (2009)Semi-supervised term-weighted value rescoring for keyword search., , , и . ICASSP, стр. 7869-7873. IEEE, (2014)F0 contour prediction with a deep belief network-Gaussian process hybrid model., , , и . ICASSP, стр. 6885-6889. IEEE, (2013)Whole Sentence Neural Language Models., , , и . ICASSP, стр. 6089-6093. IEEE, (2018)Trends and advances in speech recognition., , , , , , и . IBM J. Res. Dev., 55 (5): 2 (2011)Non-Parallel Voice Conversion for ASR Augmentation., , , , , , и . CoRR, (2022)