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