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Spoofing Attack Detection Using the Non-Linear Fusion of Sub-Band Classifiers.

, , , , and . INTERSPEECH, page 1106-1110. ISCA, (2020)

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ASVspoof: The Automatic Speaker Verification Spoofing and Countermeasures Challenge., , , , , , , and . IEEE J. Sel. Top. Signal Process., 11 (4): 588-604 (2017)The VoicePrivacy 2022 Challenge Evaluation Plan., , , , , , , , , and . CoRR, (2022)Biometrics in the Era of COVID-19: Challenges and Opportunities., , , , , , , , , and . CoRR, (2021)SynVox2: Towards a privacy-friendly VoxCeleb2 dataset., , , , , , , and . CoRR, (2023)ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild., , , , , , , , , and 1 other author(s). CoRR, (2022)Impact of Bandwidth and Channel Variation on Presentation Attack Detection for Speaker Verification., , , , , , , and . BIOSIG, volume P-270 of LNI, page 173-183. GI / IEEE, (2017)An Explainability Study of the Constant Q Cepstral Coefficient Spoofing Countermeasure for Automatic Speaker Verification., , , , and . Odyssey, page 333-340. ISCA, (2020)A New Feature for Automatic Speaker Verification Anti-Spoofing: Constant Q Cepstral Coefficients., , and . Odyssey, page 283-290. ISCA, (2016)Texture-based Presentation Attack Detection for Automatic Speaker Verification., , , , , and . WIFS, page 1-6. IEEE, (2020)Rawboost: A Raw Data Boosting and Augmentation Method Applied to Automatic Speaker Verification Anti-Spoofing., , , , and . ICASSP, page 6382-6386. IEEE, (2022)