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Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR.

, , , , , , and . SLT, page 68-75. IEEE, (2022)

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Editorial for the special issue on spoken content retrieval., , and . Comput. Speech Lang., 28 (5): 1019-1020 (2014)Effective joint training of denoising feature space transforms and Neural Network based acoustic models., , , , , and . ICASSP, page 5190-5194. IEEE, (2017)Invariant Representations for Noisy Speech Recognition., , , , , and . CoRR, (2016)LSTM Acoustic Models Learn to Align and Pronounce with Graphemes., , , and . CoRR, (2020)Training variance and performance evaluation of neural networks in speech., , and . CoRR, (2016)Generalized Ambiguity Decomposition for Understanding Ensemble Diversity., , , and . CoRR, (2013)Semi-supervised term-weighted value rescoring for keyword search., , , and . ICASSP, page 7869-7873. IEEE, (2014)F0 contour prediction with a deep belief network-Gaussian process hybrid model., , , and . ICASSP, page 6885-6889. IEEE, (2013)Broad phonetic class recognition in a Hidden Markov model framework using extended Baum-Welch transformations., , and . ASRU, page 306-311. IEEE, (2007)Language modeling with highway LSTM., , , and . ASRU, page 244-251. IEEE, (2017)