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The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020) addresses three different research problems under well-defined conditions: far-field text-dependent speaker verification from single microphone array, far-field text-independent speaker verification from single microphone array, and far-field text-dependent speaker verification from distributed microphone arrays.
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P. Matejka, O. Plchot, H. Zeinali, L. Mosner, A. Silnova, L. Burget, O. Novotny, and O. Glembek, “Analysis of BUT submission in far-field scenarios of voices 2019 challenge,” in
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X. Qin, D. Cai, and M. Li, “Far-Field End-to-End Text-Dependent Speaker Verification Based on Mixed Training Data with Transfer Learning and Enrollment Data Augmentation,” in
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J. Zhou, T. Jiang, L. Li, Q. Hong, Z. Wang, and B. Xia, “Training Multi-Task Adversarial Network for Extracting Noise-Robust Speaker Embedding,” in
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S. Shon, H. Tang, and J. Glass, “VoiceID Loss: Speech Enhancement for Speaker Verification,” in
2019
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L. Mosner, P. Matejka, O. Novotny, and J. H. Cernocky, “Dereverberation and beamforming in far-field speaker recognition,” in
2018
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2018
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D. Cai, X. Qin, W. Cai, and M. Li, “The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance Challenge,” in
2019
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2019
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F. Zhao, H. Li, and X. Zhang, “A Robust Text-independent Speaker Verification Method Based on Speech Separation and Deep Speaker,” in
2019
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D. Cai, X. Qin, and M. Li, “Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment,” in
2019
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D. Cai, W. Cai, and M. Li, “Within-sample variability-invariant loss for robust speaker recognition under noisy environments,” in
2020
Closest in time.
2020
Closest in time.
X. Qin, H. Bu, and M. Li, “Hi-mia: A far-field text-dependent speaker verification database and the baselines,” in
2020
Closest in time.