Artigos de revistas sobre o tema "ASVspoof"
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Nafees, Muhammad, Abid Rauf e Rabbia Mahum. "Automatic Spoofing Detection Using Deep Learning". Global Social Sciences Review IX, n.º I (30 de março de 2024): 111–333. http://dx.doi.org/10.31703/gssr.2024(ix-i).11.
Texto completo da fonteZhang, Jiachen, Guoqing Tu, Shubo Liu e Zhaohui Cai. "Audio Anti-Spoofing Based on Audio Feature Fusion". Algorithms 16, n.º 7 (28 de junho de 2023): 317. http://dx.doi.org/10.3390/a16070317.
Texto completo da fonteFaham Ali Zaidi, Syed, e Longting Xu. "Implementation of Multiple Feature Selection Algorithms for Speech Spoofing Detection". Journal of Physics: Conference Series 2224, n.º 1 (1 de abril de 2022): 012119. http://dx.doi.org/10.1088/1742-6596/2224/1/012119.
Texto completo da fonteYang, Jichen, Qianhua He, Yongjian Hu e Weiqiang Pan. "CBC-Based Synthetic Speech Detection". International Journal of Digital Crime and Forensics 11, n.º 2 (abril de 2019): 63–74. http://dx.doi.org/10.4018/ijdcf.2019040105.
Texto completo da fonteWu, Zhizheng, Junichi Yamagishi, Tomi Kinnunen, Cemal Hanilci, Mohammed Sahidullah, Aleksandr Sizov, Nicholas Evans, Massimiliano Todisco e Hector Delgado. "ASVspoof: The Automatic Speaker Verification Spoofing and Countermeasures Challenge". IEEE Journal of Selected Topics in Signal Processing 11, n.º 4 (junho de 2017): 588–604. http://dx.doi.org/10.1109/jstsp.2017.2671435.
Texto completo da fontePhapatanaburi, Khomdet, Prawit Buayai, Watcharaphon Naktong e Jakkree Srinonchat. "Exploiting Magnitude and Phase Aware Deep Neural Network for Replay Attack Detection". ECTI Transactions on Electrical Engineering, Electronics, and Communications 18, n.º 2 (31 de agosto de 2020): 89–97. http://dx.doi.org/10.37936/ecti-eec.2020182.240341.
Texto completo da fonteTan, Choon Beng, Mohd Hanafi Ahmad Hijazi, Frazier Kok, Mohd Saberi Mohamad e Puteri Nor Ellyza Nohuddin. "Artificial speech detection using image-based features and random forest classifier". IAES International Journal of Artificial Intelligence (IJ-AI) 11, n.º 1 (1 de março de 2022): 161. http://dx.doi.org/10.11591/ijai.v11.i1.pp161-172.
Texto completo da fonteHu, Chenlei, Ruohua Zhou e Qingsheng Yuan. "Replay Speech Detection Based on Dual-Input Hierarchical Fusion Network". Applied Sciences 13, n.º 9 (25 de abril de 2023): 5350. http://dx.doi.org/10.3390/app13095350.
Texto completo da fonteAdiban, Mohammad, Hossein Sameti e Saeedreza Shehnepoor. "Replay spoofing countermeasure using autoencoder and siamese networks on ASVspoof 2019 challenge". Computer Speech & Language 64 (novembro de 2020): 101105. http://dx.doi.org/10.1016/j.csl.2020.101105.
Texto completo da fonteNautsch, Andreas, Xin Wang, Nicholas Evans, Tomi H. Kinnunen, Ville Vestman, Massimiliano Todisco, Hector Delgado, Md Sahidullah, Junichi Yamagishi e 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, n.º 2 (abril de 2021): 252–65. http://dx.doi.org/10.1109/tbiom.2021.3059479.
Texto completo da fonteWang, Xin, Junichi Yamagishi, Massimiliano Todisco, Héctor Delgado, Andreas Nautsch, Nicholas Evans, Md Sahidullah et al. "ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech". Computer Speech & Language 64 (novembro de 2020): 101114. http://dx.doi.org/10.1016/j.csl.2020.101114.
Texto completo da fonteChettri, Bhusan, Emmanouil Benetos e Bob L. T. Sturm. "Dataset Artefacts in Anti-Spoofing Systems: A Case Study on the ASVspoof 2017 Benchmark". IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (2020): 3018–28. http://dx.doi.org/10.1109/taslp.2020.3036777.
Texto completo da fonteHernández-Nava, Carlos Alberto, Eric Alfredo Rincón-García, Pedro Lara-Velázquez, Sergio Gerardo de-los-Cobos-Silva, Miguel Angel Gutiérrez-Andrade e Roman Anselmo Mora-Gutiérrez. "Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients". PeerJ Computer Science 9 (18 de dezembro de 2023): e1740. http://dx.doi.org/10.7717/peerj-cs.1740.
Texto completo da fonteAltuwayjiri, Sarah Mohammed, Ouiem Bchir e Mohamed Maher Ben Ismail. "Generalized Replay Spoofing Countermeasure Based on Combining Local Subclassification Models". Applied Sciences 12, n.º 22 (18 de novembro de 2022): 11742. http://dx.doi.org/10.3390/app122211742.
Texto completo da fonteAydın, Barış, e Gökay Dişken. "INCREASING ROBUSTNESS OF I-VECTORS VIA MASKING: A CASE STUDY IN SYNTHETIC SPEECH DETECTION". Uludağ University Journal of The Faculty of Engineering 29, n.º 1 (28 de março de 2024): 191–204. http://dx.doi.org/10.17482/uumfd.1311113.
Texto completo da fonteKang, Yeajun, Wonwoong Kim, Sejin Lim, Hyunji Kim e Hwajeong Seo. "DeepDetection: Privacy-Enhanced Deep Voice Detection and User Authentication for Preventing Voice Phishing". Applied Sciences 12, n.º 21 (2 de novembro de 2022): 11109. http://dx.doi.org/10.3390/app122111109.
Texto completo da fonteJiang, Yi, e Dengpan Ye. "Black-Box Adversarial Attacks against Audio Forensics Models". Security and Communication Networks 2022 (17 de janeiro de 2022): 1–8. http://dx.doi.org/10.1155/2022/6410478.
Texto completo da fonteLi, Jiakang, Xiongwei Zhang, Meng Sun, Xia Zou e Changyan Zheng. "Attention-Based LSTM Algorithm for Audio Replay Detection in Noisy Environments". Applied Sciences 9, n.º 8 (13 de abril de 2019): 1539. http://dx.doi.org/10.3390/app9081539.
Texto completo da fonteZhang, Jinghong, Xiaowei Yi e Xianfeng Zhao. "One-Class Fake Speech Detection Based on Improved Support Vector Data Description". Security and Communication Networks 2023 (4 de outubro de 2023): 1–10. http://dx.doi.org/10.1155/2023/8830894.
Texto completo da fonteGuo, Jinlin, Yancheng Zhao e Haoran Wang. "Generalized Spoof Detection and Incremental Algorithm Recognition for Voice Spoofing". Applied Sciences 13, n.º 13 (30 de junho de 2023): 7773. http://dx.doi.org/10.3390/app13137773.
Texto completo da fonteYanagi, Yuta, Ryohei Orihara, Yasuyuki Tahara, Yuichi Sei, Tanel Alumäe e Akihiko Ohsuga. "The Proposal of Countermeasures for DeepFake Voices on Social Media Considering Waveform and Text Embedding". Annals of Emerging Technologies in Computing 8, n.º 2 (1 de abril de 2024): 15–31. http://dx.doi.org/10.33166/aetic.2024.02.002.
Texto completo da fonteTan, Choon Beng, e Mohd Hanafi Ahmad Hijazi. "A Comparative Evaluation on Data Transformation Approach for Artificial Speech Detection". ITM Web of Conferences 63 (2024): 01012. http://dx.doi.org/10.1051/itmconf/20246301012.
Texto completo da fonteGada, Amay, Neel Kothari, Ruhina Karani, Chetashri Badane, Dhruv Gada e Tanish Patwa. "DR-SASV: A deep and reliable spoof aware speech verification system". International Journal on Information Technologies and Security 15, n.º 4 (1 de dezembro de 2023): 93–106. http://dx.doi.org/10.59035/ffmb8272.
Texto completo da fonteShim, Hye-jin, Jee-weon Jung, Ju-ho Kim e Ha-jin Yu. "Integrated Replay Spoofing-Aware Text-Independent Speaker Verification". Applied Sciences 10, n.º 18 (10 de setembro de 2020): 6292. http://dx.doi.org/10.3390/app10186292.
Texto completo da fonteЕвсюков, Михаил Витальевич, Михаил Михайлович Путято, Александр Самвелович Макарян e Александр Николаевич Черкасов. "Оценка точности субъектозависимого подхода к обнаружению синтезированного голоса". Вестник ВГУ. Серия: Системный анализ и информационные технологии, n.º 1 (28 de maio de 2024): 77–93. http://dx.doi.org/10.17308/sait/1995-5499/2024/1/77-93.
Texto completo da fonteGomez-Alanis, Alejandro, Jose A. Gonzalez-Lopez e Antonio M. Peinado. "GANBA: Generative Adversarial Network for Biometric Anti-Spoofing". Applied Sciences 12, n.º 3 (29 de janeiro de 2022): 1454. http://dx.doi.org/10.3390/app12031454.
Texto completo da fonteWei, Linqiang, Yanhua Long, Haoran Wei e Yijie Li. "New Acoustic Features for Synthetic and Replay Spoofing Attack Detection". Symmetry 14, n.º 2 (29 de janeiro de 2022): 274. http://dx.doi.org/10.3390/sym14020274.
Texto completo da fonteYoon, Sunghyun, e Ha-Jin Yu. "BPCNN: Bi-Point Input for Convolutional Neural Networks in Speaker Spoofing Detection". Sensors 22, n.º 12 (14 de junho de 2022): 4483. http://dx.doi.org/10.3390/s22124483.
Texto completo da fonteLi, Lanting, Tianliang Lu, Xingbang Ma, Mengjiao Yuan e Da Wan. "Voice Deepfake Detection Using the Self-Supervised Pre-Training Model HuBERT". Applied Sciences 13, n.º 14 (22 de julho de 2023): 8488. http://dx.doi.org/10.3390/app13148488.
Texto completo da fonteMewada, Hiren, Jawad F. Al-Asad, Faris A. Almalki, Adil H. Khan, Nouf Abdullah Almujally, Samir El-Nakla e Qamar Naith. "Gaussian-Filtered High-Frequency-Feature Trained Optimized BiLSTM Network for Spoofed-Speech Classification". Sensors 23, n.º 14 (24 de julho de 2023): 6637. http://dx.doi.org/10.3390/s23146637.
Texto completo da fonteChadha, Ankita, Azween Abdullah e Lorita Angeline. "An improved normalized gain-based score normalization technique for spoof detection algorithm". International journal of electrical and computer engineering systems 13, n.º 6 (1 de setembro de 2022): 457–65. http://dx.doi.org/10.32985/ijeces.13.6.5.
Texto completo da fonteMahum, Rabbia, Aun Irtaza, Ali Javed, Haitham A. Mahmoud e Haseeb Hassan. "DeepDet: YAMNet with BottleNeck Attention Module (BAM) TTS synthesis detection". EURASIP Journal on Audio, Speech, and Music Processing 2024, n.º 1 (1 de abril de 2024). http://dx.doi.org/10.1186/s13636-024-00335-9.
Texto completo da fonteChakravarty, Nidhi, e Mohit Dua. "Data Augmentation and Hybrid Feature Amalgamation to detect Audio Deep Fake attacks". Physica Scripta, 24 de julho de 2023. http://dx.doi.org/10.1088/1402-4896/acea05.
Texto completo da fonteKamble, Madhu R., Hardik B. Sailor, Hemant A. Patil e Haizhou Li. "Advances in anti-spoofing: from the perspective of ASVspoof challenges". APSIPA Transactions on Signal and Information Processing 9 (2020). http://dx.doi.org/10.1017/atsip.2019.21.
Texto completo da fonteCheng, Xingliang, Mingxing Xu e Thomas Fang Zheng. "A multi-branch ResNet with discriminative features for detection of replay speech signals". APSIPA Transactions on Signal and Information Processing 9 (2020). http://dx.doi.org/10.1017/atsip.2020.26.
Texto completo da fonteLiu, Xuechen, Xin Wang, Md Sahidullah, Jose Patino, Héctor Delgado, Tomi Kinnunen, Massimiliano Todisco et al. "ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild". IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, 1–14. http://dx.doi.org/10.1109/taslp.2023.3285283.
Texto completo da fonteGupta, Priyanka, Hemant A. Patil e Rodrigo Capobianco Guido. "Vulnerability issues in Automatic Speaker Verification (ASV) systems". EURASIP Journal on Audio, Speech, and Music Processing 2024, n.º 1 (10 de fevereiro de 2024). http://dx.doi.org/10.1186/s13636-024-00328-8.
Texto completo da fonteZhao, Yuanjun, Roberto Togneri e Victor Sreeram. "Multi-task Learning-Based Spoofing-Robust Automatic Speaker Verification System". Circuits, Systems, and Signal Processing, 18 de fevereiro de 2022. http://dx.doi.org/10.1007/s00034-022-01974-z.
Texto completo da fonteXie, Dang-en, Hai-na Hu e Qiang Xu. "Replay attack detection based on deformable convolutional neural network and temporal-frequency attention model". Journal of Intelligent Systems 32, n.º 1 (1 de janeiro de 2023). http://dx.doi.org/10.1515/jisys-2022-0265.
Texto completo da fonteDİŞKEN, Gökay. "Robust Spoofed Speech Detection with Denoised I-vectors". GAZI UNIVERSITY JOURNAL OF SCIENCE, 6 de outubro de 2022. http://dx.doi.org/10.35378/gujs.1062788.
Texto completo da fonteKanwal, Tahira, Rabbia Mahum, Abdul Malik AlSalman, Mohamed Sharaf e Haseeb Hassan. "Fake speech detection using VGGish with attention block". EURASIP Journal on Audio, Speech, and Music Processing 2024, n.º 1 (26 de junho de 2024). http://dx.doi.org/10.1186/s13636-024-00348-4.
Texto completo da fonteMittal, Aakshi, e Mohit Dua. "Static–dynamic features and hybrid deep learning models based spoof detection system for ASV". Complex & Intelligent Systems, 19 de novembro de 2021. http://dx.doi.org/10.1007/s40747-021-00565-w.
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