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The first spoofing-aware speaker verification (SASV) challenge aims to integrate research efforts in speaker verification and anti-spoofing.
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F. Alegre, A. Amehraye and N. Evans, · 2013
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D. Snyder, G. Chen and D. Povey, · 2015
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“Integrated spoofing countermeasures and automatic speaker verification: An evaluation on ASVspoof 2015,”
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J. S. Chung, A. Nagrani and A. Zisserman, · 2018
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“Multi-task learning of deep neural networks for joint automatic speaker verification and spoofing detection,”
J. Li, M. Sun and X. Zhang, · 2019
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“Res2net: A new multi-scale backbone architecture,”
S. Gao, M.-M. Cheng, K. Zhao et al., · 2019
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“Tandem assessment of spoofing countermeasures and automatic speaker verification: Fundamentals,”
T. Kinnunen, H. Delgado et al., · 2020
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“ASVspoof 2019: a large-scale public database of synthetized, converted and replayed speech,”
X. Wang, J. Yamagishi et al., · 2020
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“Joint decision of anti-spoofing and automatic speaker verification by multi-task learning with contrastive loss,”
J. Li, M. Sun, X. Zhang and Y. Wang, · 2020
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“SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan,”
J.-w. Jung, H. Tak, H.-j. Shim et al., · 2022
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“A probabilistic fusion framework for spoofing aware speaker verification,”
Y. Zhang, G. Zhu and Z. Duan, · 2022
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“Norm-constrained score-level ensemble for spoofing aware speaker verification,”
P. Zhang, P. Hu and X. Zhang, · 2022
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“SA-SASV: An End-to-End Spoof-Aggregated Spoofing-Aware Speaker Verification System,”
Z. Teng, Q. Fu, J. White et al., · 2022
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“End-to-end framework for spoof-aware speaker verification,”
A. F. Woo Hyun Kang, Jahangir Alam, · 2022
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“Spoofing-aware speaker verification with unsupervised domain adaptation,”
X. Liu, M. Sahidullah and T. Kinnunen, · 2022
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H.-j. Shim, J.-w. Jung, J.-h. Kim and H.-j. Yu, · 2020
Cited alongside, same era.
“ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification,”
B. Desplanques, J. Thienpondt and K. Demuynck, · 2020
Cited alongside, same era.
“Improved rawnet with filter-wise rescaling for text-independent speaker verification using raw waveforms,”
J.-w. Jung, S.-b. Kim, H.-j. Shim et al., · 2020
Cited alongside, same era.
“ASVspoof2021: accelerating progress in spoofed and deep fake speech detection,”
J. Yamagishi, X. Wang et al., · 2021
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“On Joint Optimization of Automatic Speaker Verification and Anti-Spoofing in the Embedding Space,”
A. Gomez-Alanis, J. A. Gonzalez-Lopez et al., · 2021
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“HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE,”
R. K. Das, R. Tao and H. Li, · 2021
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“End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection,”
H. Tak, J.-w. Jung, J. Patino et al., · 2021
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“Backend ensemble for speaker verification and spoofing countermeasure,”
L. Zhang, Y. Li, H. Zhao and L. Xie, · 2022
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“Optimizing Tandem Speaker Verification and Anti-Spoofing Systems,”
A. Kanervisto, V. Hautamäki, T. Kinnunen and J. Yamagishi, · 2022
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“Multi-task learning-based spoofing-robust automatic speaker verification system,”
Y. Zhao, R. Togneri and V. Sreeram, · 2022
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“AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks,”
J.-w. Jung, H.-S. Heo, H. Tak et al., · 2022
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“Baseline systems for the first spoofing-aware speaker verification challenge: score and embedding fusion,”
H. Shim, H. Tak, X. Liu et al., · 2022
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“A Subnetwork Approach for Spoofing Aware Speaker Verification,”
A. Alenin, N. Torgashov, A. Okhotnikov et al., · 2022
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“The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification challenge,”
X. Wang, X. Qin, Y. Wang et al., · 2022
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