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Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding.

, , , and . CoRR, (2016)

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Corpus-based analysis of English spoken by Japanese students in view of the entire phonemic system of English., , and . INTERSPEECH, ISCA, (2002)Leveraging phonetic context dependent invariant structure for continuous speech recognition., , , , and . ChinaSIP, page 52-56. IEEE, (2014)Unsupervised Lexicon Acquisition from Speech and Text., , , and . ICASSP (4), page 421-424. IEEE, (2007)Discriminative re-ranking for automatic speech recognition by leveraging invariant structures., , , and . Speech Communication, (2015)Acoustically discriminative language model training with pseudo-hypothesis., , , , , and . Speech Communication, 54 (2): 219-228 (2012)Ensembles of Multi-Scale VGG Acoustic Models., , , , and . INTERSPEECH, page 1616-1620. ISCA, (2017)Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models., , , and . INTERSPEECH, page 2893-2897. ISCA, (2018)Improved Knowledge Distillation from Bi-Directional to Uni-Directional LSTM CTC for End-to-End Speech Recognition., and . SLT, page 411-417. IEEE, (2018)Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition., , , , and . ICASSP, page 5572-5575. IEEE, (2011)Speech recognition robust against speech overlapping in monaural recordings of telephone conversations., , , and . ICASSP, page 5685-5689. IEEE, (2016)