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Long short-term memory based convolutional recurrent neural networks for large vocabulary speech recognition., and . INTERSPEECH, page 3219-3223. ISCA, (2015)Improving long short-term memory networks using maxout units for large vocabulary speech recognition., and . ICASSP, page 4600-4604. IEEE, (2015)Labeling unsegmented sequence data with DNN-HMM and its application for speech recognition., and . ISCSLP, page 10-14. IEEE, (2014)Comparable Study Of Modeling Units For End-To-End Mandarin Speech Recognition., , , , and . ISCSLP, page 369-373. IEEE, (2018)Lightly Supervised Acoustic Model Training for Mandarin Continuous Speech Recognition., , and . IScIDE, volume 7751 of Lecture Notes in Computer Science, page 727-734. Springer, (2012)Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin., , , , , , , , , and 29 other author(s). ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 173-182. JMLR.org, (2016)Deep neural networks for syllable based acoustic modeling in Chinese speech recognition., , , and . APSIPA, page 1-4. IEEE, (2013)Chinese syllable-to-character conversion with recurrent neural network based supervised sequence labelling., , , , and . APSIPA, page 350-353. IEEE, (2015)Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin., , , , , , , , , and 27 other author(s). ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 173-182. JMLR.org, (2016)Towards End-to-End Code-Switching Speech Recognition., , , , , and . CoRR, (2018)