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Lattice Rescoring for Speech Recognition using Large Scale Distributed Language Models.

, , , and . COLING (Posters), page 217-224. Indian Institute of Technology Bombay, (2012)

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Domain-Adapted Word Segmentation for an Out-of-Domain Language Modeling., , , and . IWSDS, page 63-73. Springer, (2011)Using Confidence Vector in Multi-Stage Speech Recognition., , , , , and . IJCNLP, page 25-29. The Association for Computer Linguistics, (2008)A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017., , , , , and . BEA@EMNLP, page 413-422. Association for Computational Linguistics, (2017)Maximum a posteriori eigenvoice speaker adaptation for Korean connected digit recognition., and . INTERSPEECH, page 2917-2920. ISCA, (2004)Lattice Rescoring for Speech Recognition using Large Scale Distributed Language Models., , , and . COLING (Posters), page 217-224. Indian Institute of Technology Bombay, (2012)Initializing Deep Learning Based on Latent Dirichlet Allocation for Document Classification., and . ICONIP (3), volume 9949 of Lecture Notes in Computer Science, page 634-641. (2016)Implementation of a large-scale language model adaptation in a cloud environment., , , , , , , , , and . Multim. Tools Appl., 75 (9): 5029-5045 (2016)GenieTutor: A Computer-Assisted Second-Language Learning System Based on Spoken Language Understanding., , , , , , , , , and 3 other author(s). IWSDS, page 257-262. Springer, (2015)Deep-Learning Based Automatic Spontaneous Speech Assessment in a Data-Driven Approach for the 2017 SLaTE CALL Shared Challenge., , , , , , and . SLaTE, page 103-108. ISCA, (2017)Self-improvement of voice interface with user-input spoken query at early stage of commercialization., , , , and . IEEE Trans. Consumer Electron., 59 (4): 854-861 (2013)