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Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends., , , , , , , and . IEEE Signal Process. Mag., 32 (3): 35-52 (2015)Dynamic planar map illustration., , and . ACM Trans. Graph., 26 (3): 30 (2007)Speech Recognition for Mobile Devices at Google.. PRICAI, volume 6230 of Lecture Notes in Computer Science, page 8-10. Springer, (2010)One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling, , , , , , and . (2013)Efficient Generation of high-order context-dependent Weighted Finite State Transducers for Speech Recognition., and . ICASSP (1), page 201-204. IEEE, (2005)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling., , , , , , , , , and 81 other author(s). CoRR, (2019)Experiments with probabilistic principal component analysis in LVCSR., , and . INTERSPEECH, page 1685-1688. ISCA, (2005)Segment boundary estimation using recurrent neural networks., , , and . EUROSPEECH, page 2839-2842. ISCA, (1997)Phoneme boundary estimation using bidirectional recurrent neural networks and its applications., , and . Syst. Comput. Jpn., 30 (4): 20-30 (1999)Japanese and Korean voice search., and . ICASSP, page 5149-5152. IEEE, (2012)