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Korean pronunciation variation modeling with probabilistic Bayesian networks., , , , and . IUCS, page 52-57. IEEE, (2010)Compressing Recurrent Neural Network with Tensor Train., , and . CoRR, (2017)Entrainable Neural Conversation Model Based on Reinforcement Learning., , , and . IEEE Access, (2020)End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs., , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Oriental-COCOSDA 2019 Japan country report.. O-COCOSDA, page 1-6. IEEE, (2019)A Statistical Sample-Based Approach to GMM-Based Voice Conversion Using Tied-Covariance Acoustic Models., , , , and . IEICE Trans. Inf. Syst., 99-D (10): 2490-2498 (2016)Structured Adaptive Regularization of Weight Vectors for a Robust Grapheme-to-Phoneme Conversion Model., , , , and . IEICE Trans. Inf. Syst., 97-D (6): 1468-1476 (2014)Incorporating Knowledge Sources Into a Statistical Acoustic Model for Spoken Language Communication Systems., , and . IEEE Trans. Computers, 56 (9): 1199-1211 (2007)SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain., , , , and . CoRR, (2023)Multichannel Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization with Spectrogram Restoration., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (4): 654-669 (2015)