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Speeding Up Dynamic Search Methods in Speech Recognition., and . IEA/AIE, volume 3533 of Lecture Notes in Computer Science, page 98-100. Springer, (2005)Aggregation Operators and Hypothesis Space Reductions in Speech Recognition., and . TSD, volume 3206 of Lecture Notes in Computer Science, page 315-322. Springer, (2004)Spoken term detection from noisy input., , and . SACI, page 91-96. IEEE, (2011)Social Signal Detection by Probabilistic Sampling DNN Training., , and . IEEE Trans. Affect. Comput., 11 (1): 164-177 (2020)Improving speed and accuracy in automatic speech recognition. University of Szeged, Hungary, (2010)Reducing the Inter-speaker Variance of CNN Acoustic Models Using Unsupervised Adversarial Multi-task Training., and . SPECOM, volume 11658 of Lecture Notes in Computer Science, page 481-490. Springer, (2019)Assessing Alzheimer's Disease from Speech Using the i-vector Approach., , , , , and . SPECOM, volume 11658 of Lecture Notes in Computer Science, page 289-298. Springer, (2019)Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition., and . ISNN (1), volume 3173 of Lecture Notes in Computer Science, page 996-1001. Springer, (2004)Detecting autism, emotions and social signals using adaboost., , and . INTERSPEECH, page 220-224. ISCA, (2013)DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface., , , , and . INTERSPEECH, page 3672-3676. ISCA, (2017)