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Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data., , and . TSD, volume 6231 of Lecture Notes in Computer Science, page 322-329. Springer, (2010)Probabilistic and Bottle-Neck Features for LVCSR of Meetings., , , and . ICASSP (4), page 757-760. IEEE, (2007)But neural network features for spontaneous Vietnamese in BABEL., , , and . ICASSP, page 5622-5626. IEEE, (2014)Boosting performance on low-resource languages by standard corpora: An analysis., and . SLT, page 629-636. IEEE, (2016)Feature and score level combination of subspace Gaussinas in LVCSR task., , and . ICASSP, page 7604-7608. IEEE, (2013)Residual memory networks: Feed-forward approach to learn long-term temporal dependencies., , , , , and . ICASSP, page 4810-4814. IEEE, (2017)Subspace Gaussian Mixture Models for speech recognition., , , , , , , , , and 3 other author(s). ICASSP, page 4330-4333. IEEE, (2010)Analysis of Multilingual Blstm Acoustic Model on Low and High Resource Languages., , , , , and . ICASSP, page 5789-5793. IEEE, (2018)Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems., , , , , and . INTERSPEECH, page 2220-2224. ISCA, (2019)Three ways to adapt a CTS recognizer to unseen reverberated speech in BUT system for the ASpIRE challenge., , , , and . INTERSPEECH, page 2454-2458. ISCA, (2015)