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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 submission for MGB-3 Arabic dialect identification: Front-end and back-end advancements on broadcast speech., , , , and . ASRU, page 360-367. IEEE, (2017)Single Sideband Frequency Offset Estimation and Correction for Quality Enhancement and Speaker Recognition., and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (1): 120-132 (2017)Howling Detection in Hearing Aids Based on Generalized Teager-Kaiser Operator., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (1): 154-161 (2015)Generative Modeling of Pseudo-Whisper for Robust Whispered Speech Recognition., , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (10): 1705-1720 (2016)Feature compensation in the cepstral domain employing model combination., and . Speech Commun., 51 (2): 83-96 (2009)On the issues of intra-speaker variability and realism in speech, speaker, and language recognition tasks., and . Speech Commun., (2018)Modelling and compensation for language mismatch in speaker verification., and . Speech Commun., (2018)Analysis of CFA-BF: Novel combined fixed/adaptive beamforming for robust speech recognition in real car environments., and . Speech Commun., 52 (2): 134-149 (2010)Multi-domain adversarial training of neural network acoustic models for distant speech recognition., and . Speech Commun., (2019)An Auditory-Masking-Threshold-Based Noise Suppression Algorithm GMMSE-AMTERB for Listeners with Sensorineural Hearing Loss., , , and . EURASIP J. Adv. Signal Process., 2005 (18): 2938-2953 (2005)