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

Research article (2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016) · cited 19× · AI/ML
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Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach

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Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-information-from-nonlinear-and-linear-features-for-spoofing-detection-an-i-vector-dnn-based-approach
MLA “Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-information-from-nonlinear-and-linear-features-for-spoofing-detection-an-i-vector-dnn-based-approach.
BibTeX @misc{4ortxyz_joint-information-from-nonlinear-and-linear-features-for-spoofing-detection-an-i-vector-dnn-based-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach}}, year = {2026}, url = {https://4ort.xyz/entity/joint-information-from-nonlinear-and-linear-features-for-spoofing-detection-an-i-vector-dnn-based-approach}, note = {Accessed: 2026-05-24}}
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