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UTD-CRSS system for the NIST 2015 language recognition i-vector machine learning challenge.

, , , , , , and . ICASSP, page 5835-5839. IEEE, (2016)

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UTD-CRSS system for the NIST 2015 language recognition i-vector machine learning challenge., , , , , , and . ICASSP, page 5835-5839. IEEE, (2016)Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach., , , , , , , and . ICASSP, page 5035-5039. IEEE, (2016)Extremum seeking for moderately unstable systems and for autonomous vehicle target tracking without position measurements., , and . Autom., 43 (10): 1832-1839 (2007)Source seeking with non-holonomic unicycle without position measurement and with tuning of forward velocity., , , , and . Syst. Control. Lett., 56 (3): 245-252 (2007)Highly Imbalanced Fault Diagnosis of Rolling Bearings Based on Variational Mode Gaussian Distortion and Deep Residual Shrinkage Networks., , and . IEEE Trans. Instrum. Meas., (2023)NeuralEcho: A Self-Attentive Recurrent Neural Network For Unified Acoustic Echo Suppression And Speech Enhancement., , , , and . CoRR, (2022)UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation., , , , , and . INTERSPEECH, page 1343-1347. ISCA, (2017)I-vector based physical task stress detection with different fusion strategies., , , and . INTERSPEECH, page 2689-2693. ISCA, (2015)Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization., , , , , , , , and . CoRR, (2021)Chattering-free nested adaptive terminal sliding mode control for PEMFC air supply system with event-triggered communication., , , and . J. Syst. Control. Eng., 237 (2): 314-327 (February 2023)