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Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach.

, , , , , , , and . ICASSP, page 5035-5039. 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)Locally Weighted Linear Discriminant Analysis for Robust Speaker Verification., , and . INTERSPEECH, page 2864-2868. ISCA, (2017)UTD-CRSS Systems for 2016 NIST Speaker Recognition Evaluation., , , , , and . INTERSPEECH, page 1343-1347. ISCA, (2017)A Discrete Wavelet Transform Based Approach to Hindi Speech Recognition.. ICSAP, page 345-348. IEEE Computer Society, (2010)Language recognition using deep neural networks with very limited training data., , , , and . ICASSP, page 5830-5834. IEEE, (2016)Curriculum Learning Based Approaches for Noise Robust Speaker Recognition., and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (1): 197-210 (2018)Improving Voice Trigger Detection with Metric Learning., , , , , , , , , and 2 other author(s). INTERSPEECH, page 1896-1900. ISCA, (2022)Improved Gender Independent Speaker Recognition Using Convolutional Neural Network Based Bottleneck Features., and . INTERSPEECH, page 1009-1013. ISCA, (2017)Improving semi-supervised deep neural network for keyword search in low resource languages., , , , , , and . INTERSPEECH, page 1088-1091. ISCA, (2014)