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Artykuły w czasopismach na temat "ASVspoof"
Nafees, Muhammad, Abid Rauf i Rabbia Mahum. "Automatic Spoofing Detection Using Deep Learning". Global Social Sciences Review IX, nr I (30.03.2024): 111–333. http://dx.doi.org/10.31703/gssr.2024(ix-i).11.
Pełny tekst źródłaZhang, Jiachen, Guoqing Tu, Shubo Liu i Zhaohui Cai. "Audio Anti-Spoofing Based on Audio Feature Fusion". Algorithms 16, nr 7 (28.06.2023): 317. http://dx.doi.org/10.3390/a16070317.
Pełny tekst źródłaFaham Ali Zaidi, Syed, i Longting Xu. "Implementation of Multiple Feature Selection Algorithms for Speech Spoofing Detection". Journal of Physics: Conference Series 2224, nr 1 (1.04.2022): 012119. http://dx.doi.org/10.1088/1742-6596/2224/1/012119.
Pełny tekst źródłaYang, Jichen, Qianhua He, Yongjian Hu i Weiqiang Pan. "CBC-Based Synthetic Speech Detection". International Journal of Digital Crime and Forensics 11, nr 2 (kwiecień 2019): 63–74. http://dx.doi.org/10.4018/ijdcf.2019040105.
Pełny tekst źródłaWu, Zhizheng, Junichi Yamagishi, Tomi Kinnunen, Cemal Hanilci, Mohammed Sahidullah, Aleksandr Sizov, Nicholas Evans, Massimiliano Todisco i Hector Delgado. "ASVspoof: The Automatic Speaker Verification Spoofing and Countermeasures Challenge". IEEE Journal of Selected Topics in Signal Processing 11, nr 4 (czerwiec 2017): 588–604. http://dx.doi.org/10.1109/jstsp.2017.2671435.
Pełny tekst źródłaPhapatanaburi, Khomdet, Prawit Buayai, Watcharaphon Naktong i Jakkree Srinonchat. "Exploiting Magnitude and Phase Aware Deep Neural Network for Replay Attack Detection". ECTI Transactions on Electrical Engineering, Electronics, and Communications 18, nr 2 (31.08.2020): 89–97. http://dx.doi.org/10.37936/ecti-eec.2020182.240341.
Pełny tekst źródłaTan, Choon Beng, Mohd Hanafi Ahmad Hijazi, Frazier Kok, Mohd Saberi Mohamad i Puteri Nor Ellyza Nohuddin. "Artificial speech detection using image-based features and random forest classifier". IAES International Journal of Artificial Intelligence (IJ-AI) 11, nr 1 (1.03.2022): 161. http://dx.doi.org/10.11591/ijai.v11.i1.pp161-172.
Pełny tekst źródłaHu, Chenlei, Ruohua Zhou i Qingsheng Yuan. "Replay Speech Detection Based on Dual-Input Hierarchical Fusion Network". Applied Sciences 13, nr 9 (25.04.2023): 5350. http://dx.doi.org/10.3390/app13095350.
Pełny tekst źródłaAdiban, Mohammad, Hossein Sameti i Saeedreza Shehnepoor. "Replay spoofing countermeasure using autoencoder and siamese networks on ASVspoof 2019 challenge". Computer Speech & Language 64 (listopad 2020): 101105. http://dx.doi.org/10.1016/j.csl.2020.101105.
Pełny tekst źródłaNautsch, Andreas, Xin Wang, Nicholas Evans, Tomi H. Kinnunen, Ville Vestman, Massimiliano Todisco, Hector Delgado, Md Sahidullah, Junichi Yamagishi i Kong Aik Lee. "ASVspoof 2019: Spoofing Countermeasures for the Detection of Synthesized, Converted and Replayed Speech". IEEE Transactions on Biometrics, Behavior, and Identity Science 3, nr 2 (kwiecień 2021): 252–65. http://dx.doi.org/10.1109/tbiom.2021.3059479.
Pełny tekst źródłaRozprawy doktorskie na temat "ASVspoof"
Ge, Wanying. "Spoofing-robust Automatic Speaker Verification : Architecture, Explainability and Joint Optimisation". Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS071.
Pełny tekst źródłaThis thesis explores Automatic Speaker Verification (ASV) systems and their vulnerabilities to spoofing attacks, highlighting the necessity for robust spoofing countermeasures (CMs). It introduces the application of Partially Connected Differentiable Architecture Search (PC-DARTS) for optimizing network architectures for voice anti-spoofing, demonstrating competitive performance and better generalization against unseen attacks. Further, it employs SHapley Additive exPlanations (SHAP) to analyse and visualise the impact of individual input features on detection performance, providing insights into system behaviour and attack characteristics. Lastly, it proposes an integrated spoofing-aware speaker verification system, emphasizing the benefits and challenges of joint optimization of ASV and CMs for enhanced detection capabilities and system robustness against spoofing attacks
Streszczenia konferencji na temat "ASVspoof"
Yamagishi, Junichi. "Lessons Learned from ASVSpoof and Remaining Challenges". W MM '22: The 30th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3552466.3554359.
Pełny tekst źródłaChen, Tianxiang, Elie Khoury, Kedar Phatak i Ganesh Sivaraman. "Pindrop Labs' Submission to the ASVspoof 2021 Challenge". W 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge. ISCA: ISCA, 2021. http://dx.doi.org/10.21437/asvspoof.2021-14.
Pełny tekst źródłaFeng, Zhimin, Qiqi Tong, Yanhua Long, Shuang Wei, Chunxia Yang i Qiaozheng Zhang. "SHNU Anti-spoofing Systems for ASVspoof 2019 Challenge". W 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2019. http://dx.doi.org/10.1109/apsipaasc47483.2019.9023319.
Pełny tekst źródłaNovoselov, Sergey, Alexandr Kozlov, Galina Lavrentyeva, Konstantin Simonchik i Vadim Shchemelinin. "STC anti-spoofing systems for the ASVspoof 2015 challenge". W 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472724.
Pełny tekst źródłaBenhafid, Zhor, Sid Ahmed Selouani, Mohammed Sidi Yakoub i Abderrahmane Amrouche. "LARIHS ASSERT Reassessment for Logical Access ASVspoof 2021 Challenge". W 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge. ISCA: ISCA, 2021. http://dx.doi.org/10.21437/asvspoof.2021-15.
Pełny tekst źródłaCáceres, Joaquín, Roberto Font, Teresa Grau i Javier Molina. "The Biometric Vox System for the ASVspoof 2021 Challenge". W 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge. ISCA: ISCA, 2021. http://dx.doi.org/10.21437/asvspoof.2021-11.
Pełny tekst źródłaTodisco, Massimiliano, Xin Wang, Ville Vestman, Md Sahidullah, Héctor Delgado, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Tomi H. Kinnunen i Kong Aik Lee. "ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection". W Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-2249.
Pełny tekst źródłaDelgado, Héctor, Massimiliano Todisco, Md Sahidullah, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee i Junichi Yamagishi. "ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements". W Odyssey 2018 The Speaker and Language Recognition Workshop. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/odyssey.2018-42.
Pełny tekst źródłaYamagishi, Junichi, Xin Wang, Massimiliano Todisco, Md Sahidullah, Jose Patino, Andreas Nautsch, Xuechen Liu i in. "ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection". W 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge. ISCA: ISCA, 2021. http://dx.doi.org/10.21437/asvspoof.2021-8.
Pełny tekst źródłaChen, Xinhui, You Zhang, Ge Zhu i Zhiyao Duan. "UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021". W 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge. ISCA: ISCA, 2021. http://dx.doi.org/10.21437/asvspoof.2021-12.
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