SPE-P1: Adversarial/Discriminative Training and Spoofing for Speaker Recognition |
Session Type: Poster |
Time: Tuesday, 5 May, 11:30 - 13:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chairs: Kai Yu, Shanghai Jiao Tong University and Kyu Han, ASAPP Inc. |
SPE-P1.1: DEFENSE AGAINST ADVERSARIAL ATTACKS ON SPOOFING COUNTERMEASURES OF ASV |
Haibin Wu; National Taiwan University |
Songxiang Liu; Chinese University of Hong Kong |
Helen Meng; Chinese University of Hong Kong |
Hung-yi Lee; National Taiwan University |
SPE-P1.2: TEXT-INDEPENDENT SPEAKER VERIFICATION WITH ADVERSARIAL LEARNING ON SHORT UTTERANCES |
Kai Liu; Huawei Technologies Co Ltd |
Huan Zhou; Huawei Technologies Co Ltd |
SPE-P1.3: CHANNEL INVARIANT SPEAKER EMBEDDING LEARNING WITH JOINT MULTI-TASK AND ADVERSARIAL TRAINING |
Zhengyang Chen; Shanghai Jiao Tong University |
Shuai Wang; Shanghai Jiao Tong University |
Yanmin Qian; Shanghai Jiao Tong University |
Kai Yu; Shanghai Jiao Tong University |
SPE-P1.4: ADVERSARIAL ATTACKS ON GMM I-VECTOR BASED SPEAKER VERIFICATION SYSTEMS |
Xu Li; Chinese University of Hong Kong |
Jinghua Zhong; Chinese University of Hong Kong |
Xixin Wu; Chinese University of Hong Kong |
Jianwei Yu; Chinese University of Hong Kong |
Xunying Liu; Chinese University of Hong Kong |
Helen Meng; Chinese University of Hong Kong |
SPE-P1.5: ORTHOGONAL TRAINING FOR TEXT-INDEPENDENT SPEAKER VERIFICATION |
Yingke Zhu; Hong Kong University of Science and Technology |
Brian Mak; Hong Kong University of Science and Technology |
SPE-P1.6: ASSESSING THE SCOPE OF GENERALIZED COUNTERMEASURES FOR ANTI-SPOOFING |
Rohan Kumar Das; National University of Singapore |
Jichen Yang; National University of Singapore |
Haizhou Li; National University of Singapore |
SPE-P1.7: IMPROVING SPEAKER-ATTRIBUTE ESTIMATION BY VOTING BASED ON SPEAKER CLUSTER INFORMATION |
Naohiro Tawara; NTT Communication Science Laboratories |
Hosana Kamiyama; NTT Media Intelligence Laboratories |
Satoshi Kobashikawa; NTT Media Intelligence Laboratories |
Atsunori Ogawa; NTT Communication Science Laboratories |
SPE-P1.8: AN ENSEMBLE BASED APPROACH FOR GENERALIZED DETECTION OF SPOOFING ATTACKS TO AUTOMATIC SPEAKER RECOGNIZERS |
Joao Monteiro; Institut National de la Recherche Scientifique |
Jahangir Alam; Centre de Recherche Informatique de Montreal |
Tiago Falk; Institut National de la Recherche Scientifique |
SPE-P1.9: A DISCRIMINATIVE CONDITION-AWARE BACKEND FOR SPEAKER VERIFICATION |
Luciana Ferrer; UBA-CONICET |
Mitchell McLaren; SRI International |
SPE-P1.10: ADVERSARIAL MULTI-TASK LEARNING FOR SPEAKER NORMALIZATION IN REPLAY DETECTION |
Gajan Suthokumar; University of New South Wales |
Vidhyasaharan Sethu; University of New South Wales |
Kaavya Sriskandaraja; University of New South Wales |
Eliathamby Ambikairajah; University of New South Wales |
SPE-P1.11: ROBUST SPEAKER RECOGNITION USING UNSUPERVISED ADVERSARIAL INVARIANCE |
Raghuveer Peri; University of Southern California |
Monisankha Pal; University of Southern California |
Arindam Jati; University of Southern California |
Krishna Somandepalli; University of Southern California |
Shrikanth Narayanan; University of Southern California |
SPE-P1.12: A GENERALIZED FRAMEWORK FOR DOMAIN ADAPTATION OF PLDA IN SPEAKER RECOGNITION |
Qiongqiong Wang; NEC |
Koji Okabe; NEC |
Kong Aik Lee; NEC |
Takafumi Koshinaka; NEC |