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Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation., , , , , , , and . SPECOM, volume 10458 of Lecture Notes in Computer Science, page 76-86. Springer, (2017)Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition., , and . INTERSPEECH, page 2414-2418. ISCA, (2018)An Investigation of Mixup Training Strategies for Acoustic Models in ASR., , , , , , and . INTERSPEECH, page 2903-2907. ISCA, (2018)GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models., and . INTERSPEECH, page 2882-2886. ISCA, (2015)Speaking Rate Estimation Based on Deep Neural Networks., and . SPECOM, volume 8773 of Lecture Notes in Computer Science, page 418-424. Springer, (2014)Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data., and . SPECOM, volume 8113 of Lecture Notes in Computer Science, page 146-153. Springer, (2013)Fast and Accurate OOV Decoder on High-Level Features., , , and . INTERSPEECH, page 2884-2888. ISCA, (2017)The STC Keyword Search System for OpenKWS 2016 Evaluation., , , , , , , and . INTERSPEECH, page 3602-3606. ISCA, (2017)Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing., and . INTERSPEECH, page 2997-3001. ISCA, (2014)Improving Acoustic Models for Russian Spontaneous Speech Recognition., , , , and . SPECOM, volume 9319 of Lecture Notes in Computer Science, page 234-242. Springer, (2015)