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Boosting performance on low-resource languages by standard corpora: An analysis.

, and . SLT, page 629-636. IEEE, (2016)

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Combinations of TRAP Based Systems.. TSD, volume 3206 of Lecture Notes in Computer Science, page 323-330. Springer, (2004)But neural network features for spontaneous Vietnamese in BABEL., , , and . ICASSP, page 5622-5626. IEEE, (2014)Probabilistic and Bottle-Neck Features for LVCSR of Meetings., , , and . ICASSP (4), page 757-760. IEEE, (2007)Boosting performance on low-resource languages by standard corpora: An analysis., and . SLT, page 629-636. IEEE, (2016)Residual Memory Networks: Feed-forward approach to learn long temporal dependencies., , , , , and . CoRR, (2018)Bottle-Neck Feature Extraction Structures for Multilingual Training and Porting., and . SLTU, volume 81 of Procedia Computer Science, page 144-151. Elsevier, (2016)Further Progress in Meeting Recognition: The ICSI-SRI Spring 2005 Speech-to-Text Evaluation System., , , , , , , , , and . MLMI, volume 3869 of Lecture Notes in Computer Science, page 463-475. Springer, (2005)Residual memory networks: Feed-forward approach to learn long-term temporal dependencies., , , , , and . ICASSP, page 4810-4814. IEEE, (2017)Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages., , , , , and . ICASSP, page 5789-5793. IEEE, (2018)Analysis of the DNN-based SRE systems in multi-language conditions., , , , , , and . SLT, page 199-204. IEEE, (2016)