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Using Multi-Resolution Feature Maps with Convolutional Neural Networks for Anti-Spoofing in ASV.

, , and . Odyssey, page 138-142. ISCA, (2020)

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Attention Mechanism in Speaker Recognition: What Does it Learn in Deep Speaker Embedding?, , , , and . SLT, page 1052-1059. IEEE, (2018)Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents., , and . ICASSP, page 7052-7056. IEEE, (2022)Learning Domain-Invariant Transformation for Speaker Verification., , , , , and . ICASSP, page 7177-7181. IEEE, (2022)Speaker Detection in the Wild: Lessons Learned from JSALT 2019., , , , , , , , , and 14 other author(s). Odyssey, page 415-422. ISCA, (2020)Text-Dependent Speaker Verification System in VHF Communication Channel., , , and . Odyssey, ISCA, (2014)Bhattacharyya-based GMM-SVM system with adaptive relevance factor for pair language recognition., , , , and . Odyssey, page 338-345. ISCA, (2012)I2R Submission to the 2015 NIST Language Recognition I-vector Challenge., , , , , and . Odyssey, page 311-318. ISCA, (2016)Deep Language: a comprehensive deep learning approach to end-to-end language recognition., , and . Odyssey, page 109-116. ISCA, (2016)NIST 2007 Language Recognition Evaluation: From the Perspective of IIR., , , , , , , and . PACLIC, page 46-57. De La Salle University (DLSU), Manila, Philippines, (2008)A study on GMM-SVM with adaptive relevance factor and its comparison with i-vector and JFA for speaker recognition., , , and . ICASSP, page 7683-7687. IEEE, (2013)