t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification

Speaker Verification Using Adapted Gaussian Mixture Models

Reynolds, D. A., Quatieri, T. F., & Dunn, R. B. (2000) · Digital Signal Processing · doi:10.1006/dspr.1999.0361 · Cited by 4,282

Enhancing security and privacy in biometrics-based authentication systems

Ratha, N., Connell, J. H., & Bolle, R. M. (2001) · IBM Systems Journal · doi:10.1147/sj.403.0614 · Cited by 1,688

The ASVspoof 2017 challenge: assessing the limits of replay spoofing attack detection

Kinnunen, T., Sahidullah, M., Delgado, H., Todisco, M., Evans, N., Yamagishi, J., & Lee, K. A. (2017) · Interspeech 2017 · doi:10.21437/interspeech.2017-1111 · Cited by 535

ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge

Wu, Z., Kinnunen, T., Evans, N., Yamagishi, J., Hanilçi, C., Sahidullah, M., & Sizov, A. (2015) · Interspeech 2015 · doi:10.21437/interspeech.2015-462 · Cited by 484

The NIST speaker recognition evaluation – Overview, methodology, systems, results, perspective

Doddington, G. R., Przybocki, M. A., Martín, A. F., & Reynolds, D. A. (2000) · Speech Communication · doi:10.1016/s0167-6393(99)00080-1 · Cited by 366

Spoofing and Anti-Spoofing Measures

Schuckers, S. (2002) · Information Security Technical Report · doi:10.1016/s1363-4127(02)00407-7 · Cited by 281

Spoofing and countermeasures for automatic speaker verification

Evans, N., Kinnunen, T., & Yamagishi, J. (2013) · Interspeech (USB) · doi:10.21437/interspeech.2013-288 · Cited by 163

Competition on counter measures to 2-D facial spoofing attacks

Chakka, M. M., Anjos, A., Marcel, S., Tronci, R., Muntoni, D., Fadda, G., Pili, M., Sirena, N., Murgia, G., Ristori, M., et al. (2011) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb.2011.6117509 · Cited by 146

Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015

Ghiani, L., Yambay, D. A., Mura, V., Marcialis, G. L., Roli, F., & Schuckers, S. (2016) · Image and Vision Computing · doi:10.1016/j.imavis.2016.07.002 · Cited by 123

Measuring, refining and calibrating speaker and language information extracted from speech

Brümmer, N. (2010) · SUNScholar (Stellenbosch University) · Cited by 94

Automatic speaker verification from affective speech using Gaussian mixture model based estimation of neutral speech characteristics

Avila, A. R., O’Shaughnessy, D. D., & Falk, T. H. (2021) · Speech Communication · doi:10.1016/j.specom.2021.05.009 · Cited by 9

Machine Learning Mitigants for Speech Based Cyber Risk

Campi, M., Peters, G. W., Azzaoui, N., & Matsui, T. (2020) · IEEE Access · doi:10.1109/access.2021.3117080 · Cited by 9

The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challenge

Wang, X., Qin, X., Wang, Y., Xu, Y., & Li, M. (2022) · Interspeech (USB) · doi:10.21437/interspeech.2022-11190 · Cited by 9

RawSpectrogram: On the Way to Effective Streaming Speech Anti-Spoofing

Grinberg, P., & Shikhov, V. (2023) · IEEE Access · doi:10.1109/access.2023.3321919 · Cited by 8

Deepfake Audio Detection in Voice Authentication: A Spectral and CNN-Based Comprehensive Review

Salih, A. O. M., Emam, A. H. M., Ahmed, A. B. G. E., Khalifa, M., Suliman, A., & Babiker, N. B. M. (2025) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.13400 · Cited by 10

On the use of blind channel response estimation and a residual neural network to detect physical access attacks to speaker verification systems

Avila, A. R., Alam, J., Prado, F., O’Shaughnessy, D. D., & Falk, T. H. (2020) · Computer Speech & Language · doi:10.1016/j.csl.2020.101163 · Cited by 8

Noise robust automatic speaker verification systems: review and analysis

Joshi, S., & Dua, M. (2024) · Telecommunication Systems · doi:10.1007/s11235-024-01212-8 · Cited by 8

Replay attack detection using excitation source and system features

Singh, M., & Pati, D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816801-1.00002-5 · Cited by 8

Learnable Spectro-Temporal Receptive Fields for Robust Voice Type Discrimination

Vuong, T., Xia, Y., & Stern, R. M. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-1878 · Cited by 7

A robust unified spoofing audio detection scheme

Meng, H., Ou, W., Huang, J., Liang, H., Han, W., & Zhang, Q. (2024) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2024.109974 · Cited by 9

Generalized Spoof Detection and Incremental Algorithm Recognition for Voice Spoofing

Guo, J., Zhao, Y., & Wang, H. (2023) · Applied Sciences · doi:10.3390/app13137773 · Cited by 10

A Survey on Linear Prediction Residual based Replay Attack Detection System

Singh, M. (2021) · IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) · doi:10.1109/iotais50849.2021.9359690 · Cited by 7

End-to-end spoofing speech detection and knowledge distillation under noisy conditions

Liu, P., Zhang, Z., & Yang, Y. (2021) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9534312 · Cited by 8

Synthesized Speech Detection Based on Spectrogram and Convolutional Neural Networks

Nosek, T., Suzić, S., Papic, B., & Jakovljevic, N. M. (2019) · Telecommunications Forum (TELFOR) · doi:10.1109/telfor48224.2019.8971215 · Cited by 7

Integrating Spectro-Temporal Cross Aggregation and Multi-Scale Dynamic Learning for Audio Deepfake Detection

Hao, Y., Xu, M., Chen, Y., Liu, Y., He, L., Fang, L., & Liu, L. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10889337 · Cited by 7

The Clever Hans Effect in Voice Spoofing Detection

Chettri, B. (2023) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt54892.2023.10022624 · Cited by 5

Fusion of BiLSTM and GMM-UBM Systems for Audio Spoofing Detection

Rakhmanenko, I. A. (2019) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2019/103842019 · Cited by 6

Capsule Network based End-to-end System for Detection of Replay Attacks

Ouyang, M., Das, R. K., Yang, J., & Li, H. (2021) · International Symposium on Chinese Spoken Language Processing (ISCSLP) · doi:10.1109/iscslp49672.2021.9362111 · Cited by 7

Towards Generating Adversarial Examples on Combined Systems of Automatic Speaker Verification and Spoofing Countermeasure

Zhang, X., Zhang, X., Zou, X., Liu, H., & Sun, M. (2022) · Security and Communication Networks · doi:10.1155/2022/2666534 · Cited by 6

Replay Speech Detection Based on Dual-Input Hierarchical Fusion Network

Hu, C., Zhou, R., & Yuan, Q. (2023) · Applied Sciences · doi:10.3390/app13095350 · Cited by 6

Generative and Discriminative Modelling of Linear Energy Sub-bands for Spoof Detection in Speaker Verification Systems

Kumar, S. R., & Bharathi, B. (2022) · Circuits Systems and Signal Processing · doi:10.1007/s00034-022-01957-0 · Cited by 5

Listening to Sounds of Silence for Audio replay attack detection

Hajipour, M., Akhaee, M. A., & Toosi, R. (2021) · International Conference on Signal Processing and Intelligent Systems (ICSPIS) · doi:10.1109/icspis54653.2021.9729353 · Cited by 5

Detection of Voice Conversion Spoofing Attacks Using Voiced Speech

Sankar, M. S. A., Leon, P. L. D., & Roedig, U. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-22295-5_9 · Cited by 4

Performance Comparison of Audio Tampering Detection Using Different Datasets

Hsu, H.-P., Chang, S.-C., Hung, C.-H., Wang, S., & Fang, S. (2023) · IEEE International Conference on Mobile Data Management (MDM) · doi:10.1109/mdm58254.2023.00053 · Cited by 4

A Green Learning Approach to Spoofed Speech Detection

Wei, C., Pang, R., & Kuo, C. ‐. J. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10448336 · Cited by 5

A Frequency Bin Analysis of Distinctive Ranges Between Human and Deepfake Generated Voices

Maltby, H., Wall, J. A., Glackin, C., Moniri, M., Cannings, N., & Salami, I. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650554 · Cited by 5

Multi-Scale Information Aggregation for Spoofing Detection

Li, C., Wan, Y., Yang, F., & Yang, J. J. (2022) · EURASIP Journal on Audio Speech and Music Processing · doi:10.1186/s13636-024-00379-x · Cited by 7

Sentetik ve Dönüştürülmüş Konuşmaların Tespitinde Genlik ve Faz Tabanlı Spektral Özniteliklerin Kullanılması

Kasapoglu, B., & Koç, T. (2020) · European Journal of Science and Technology · doi:10.31590/ejosat.780650 · Cited by 4

Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection

Dou, Y., Yang, H., Yang, M., Xu, Y., & Ke, D. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9412749 · Cited by 4

LightCvT: Audio Forgery Detection via Fusion of Light CNN and Transformer

Liu, C., Li, J., Duan, J., Shen, H., & Huang, H. (2021) · International Conference on Computing and Pattern Recognition (ICCPR) · doi:10.1145/3497623.3497639 · Cited by 4

Improved One-class Learning for Voice Spoofing Detection

Li, L., Xue, X., Peng, H., Ren, Y., & Zhao, M. (2023) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc58517.2023.10317117 · Cited by 4

Preventing Fake Information Generation Against Media Clone Attacks

Babaguchi, N., Echizen, I., Yamagishi, J., Nitta, N., Nakashima, Y., Nakamura, K., Kono, K., Fang, F., Myojin, S., Kuang, Z., et al. (2020) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2020mui0001 · Cited by 4

An explainability study of the constant Q cepstral coefficient spoofing countermeasure for automatic speaker verificationPreprint

Tak, H., Patino, J., Nautsch, A., Evans, N., & Todisco, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.06422 · Cited by 4

A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection

Wang, X., & Yamagishi, J. (2021) · arXiv · doi:10.48550/arxiv.2103.11326 · Cited by 4

Balancing Accuracy and Error Rates in Fingerprint Verification Systems Under Presentation Attacks With Sequential Fusion

Micheletto, M., & Marcialis, G. L. (2024) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2024.3405554 · Cited by 3

Variational Regularization for End-to-End Speech Deepfake Detection

Qin, S., Lee, K. A., Mak, M., Lisena, P., & Todisco, M. (2025) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc65261.2025.11249209 · Cited by 4

The ASVspoof 2019 database.

Wang, X., Yamagishi, J., Todisco, M., Delgado, H., Nautsch, A., Evans, N., Sahidullah, M., Vestman, V., Kinnunen, T., Lee, K. A., et al. (2019) · Graduate School and Research Center in Digital Science (EURECOM) · Cited by 3

WaveSpect: A Hybrid Approach to Synthetic Audio Detection via Waveform and Spectrogram Analysis

Chen, D., Huang, F., Song, Z., Zhu, W., Yang, Y., & Zeng, K. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890188 · Cited by 3

Replay Speech Answer-Sheet Detection on Intelligent Language Learning System Based on Power Spectrum Decomposition

Wu, Q., Xiong, S., & Zhu, Z. (2021) · IEEE Access · doi:10.1109/access.2021.3098058 · Cited by 3

Spoofing-Aware Attention based ASV Back-end with Multiple Enrollment Utterances and a Sampling Strategy for the SASV Challenge 2022

Zeng, C., Zhang, L., Liu, M., & Yamagishi, J. (2022) · Interspeech (USB) · doi:10.21437/interspeech.2022-10495 · Cited by 3

On the application of conformers to logical access voice spoofing attack detection

Roselló, E., Gomez-Alanis, A., Chica, M., Gomez, A. M., Gonzalez, J. A., & Peinado, A. M. (2022) · IberSPEECH · doi:10.21437/iberspeech.2022-37 · Cited by 3

Detecting Replay Attacks Using Single-Channel Audio: The Temporal Autocorrelation of Speech

Lee, S.-K., Tsao, Y., & Wang, H. (2022) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.23919/apsipaasc55919.2022.9980046 · Cited by 3

ARawNet: A Lightweight Solution for Leveraging Raw Waveforms in Spoof Speech Detection

Teng, Z., Fu, Q., White, J., Powell, M., & Schmidt, D. C. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956138 · Cited by 3

End-to-end anti-spoofing with RawNet2Preprint

Tak, H., Patino, J., Todisco, M., Nautsch, A., Evans, N., & Larcher, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.01108 · Cited by 3

Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary ModelPreprint

Teng, Z., Fu, Q., White, J., Powell, M., & Schmidt, D. C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.02773 · Cited by 5

Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation

Han, S., Seo, J., Choi, S., Kang, T., Chung, S., Lee, S., Park, S., Oh, S., & Kwak, I. (2025) · Engineering Science and Technology an International Journal · doi:10.1016/j.jestch.2025.101972 · Cited by 2

Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection

Hao, Y., Chen, Y., Xu, M., Zhan, J., He, L., Fang, L., Fang, S., & Liu, L. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228261 · Cited by 3

Research progress on speech deepfake and its detection techniques

Xu, Y., Li, B., Tan, S., & Huang, J. (2024) · Journal of Image and Graphics · doi:10.11834/jig.230476 · Cited by 4

Application of Machine Learning Techniques for Generated Speech Detection

Litovkin, S., Laptev, P., & Kostyuchenko, E. Y. (2024) · Telecommunications Forum (TELFOR) · doi:10.1109/telfor63250.2024.10819160 · Cited by 2

Recursive Feature Learning from Pre-Trained Models for Spoofing Speech Detection

Guan, Y., Ai, Y., Li, Z., Peng, S., & Guo, W. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10888985 · Cited by 2

Identification of Synthetic Spoofed Speech with Deep Capsule Network

Mao, T., Yan, D., Gong, Y., & Wang, R. (2022) · Communications in computer and information science · doi:10.1007/978-981-19-0523-0_17 · Cited by 2

An Initial Investigation on Optimizing Tandem Speaker Verification and Countermeasure Systems Using Reinforcement Learning

Kanervisto, A., Hautamäki, V., Kinnunen, T., & Yamagishi, J. (2020) · The Speaker and Language Recognition Workshop (Odyssey) · doi:10.21437/odyssey.2020-22 · Cited by 2

Spoof detection using x-vector and feature switchingPreprint

Kumar, M. G., Kumar, S. R., S, S. M., Bharathi, B., & Murthy, H. A. (2019) · arXiv (Cornell University) · Cited by 2

Replay Spoofing Countermeasure Using Autoencoder and Siamese Network on ASVspoof 2019 ChallengePreprint

Adiban, M., Sameti, H., & Shehnepoor, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.13345 · Cited by 2

Data Augmentation with Signal Companding for Detection of Logical Access AttacksPreprint

Das, R. K., Yang, J., & Li, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2102.06332 · Cited by 2

Database dependence comparison in detection of physical access voice spoofing attacks

Chica, M., Gomez-Alanis, A., Roselló, E., Gomez, A. M., Gonzalez, J. A. S., & Peinado, A. M. (2022) · IberSPEECH · doi:10.21437/iberspeech.2022-41 · Cited by 1

FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning

Kang, J. Y., Yoon, J. W., Kim, S., Han, M. H., & Kim, N. S. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10888053 · Cited by 1

Waveform and Mel-Frequency Cepstral Coefficients (MFCC) approach for Deepfake Audio Detection

Singh, S. R. K., & Bharadwaj, N. K. (2025) · IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) · doi:10.1109/mpseciceta64837.2025.11118516 · Cited by 1

Synthetic Speech Detection Using MFCC and CQT with Res2Net Architecture

Sathiyapriya, K., Bharath, S., Sundharamurthy, R., Raaj, K. P., Kumar, S., Pravesh, M. R., & Eshwer, N. A. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-7514-2_31 · Cited by 1

Toward robust replay attack detection in Automatic Speaker Verification: A study of spectrum estimation and channel magnitude response modeling

Bekiryazıcı, Ş., Hanilçi, C., & Ozcan, N. (2025) · Computer Speech & Language · doi:10.1016/j.csl.2025.101906 · Cited by 1

Interpreting Multi-Branch Anti-Spoofing Architectures: Correlating Internal Strategy with Empirical Performance

Viakhirev, I., Borodin, K., Gorodnichev, M. G., & Mkrtchian, G. (2026) · Mathematics · doi:10.3390/math14020381 · Cited by 2

A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing

Liu, W., Sun, M., Zhang, X., hamme, H. V., & Zheng, T. F. (2022) · The Speaker and Language Recognition Workshop (Odyssey) · doi:10.21437/odyssey.2022-17 · Cited by 1

Multi-branch Network with Circle Loss Using Voice Conversion and Channel Robust Data Augmentation for Synthetic Speech Detection

Wang, R., Du, J., & Wang, C. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20233-9_62 · Cited by 1

Generalizing Voice Presentation Attack Detection to Unseen Synthetic Attacks and Channel Variation

Zhang, Y., Jiang, F., Zhu, G., Chen, X., & Duan, Z. (2023) · Advances in computer vision and pattern recognition · doi:10.1007/978-981-19-5288-3_15 · Cited by 1

Quefrency Domain Features with Residual Networks for Spoof Speech Detection

Kamble, M. R. (2023) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc58517.2023.10317474 · Cited by 1

Spoofing-Robust Speaker Verification Based on Time-Domain Embedding

Weizman, A., Ben‐Shimol, Y., & Lapidot, I. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-76934-4_4

The GMM and I-Vector Systems Based on Spoofing Algorithms for Speaker Spoofing Detection

Tang, H., Lei, Z., Huang, Z., Gan, H., Yu, K., & Yang, Y. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-31456-9_55 · Cited by 1

Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge

Zhang, C., Cheng, J., Gu, Y., Wang, H., Jun, M., Wang, S., & Xiao, J. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-1044 · Cited by 1

End-to-End Voice Spoofing Detection Employing Time Delay Neural Networks and Higher Order Statistics

Alam, J., Fathan, A., & Kang, W. H. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-87802-3_2 · Cited by 1

Detection and Evaluation of human and machine generated speech in spoofing attacks on automatic speaker verification systemsPreprint

Gao, Y., Lian, J., Raj, B., & Singh, R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.03689 · Cited by 1

An Initial Investigation for Detecting Partially Spoofed AudioPreprint

Zhang, L., Wang, X., Cooper, E., Yamagishi, J., Patino, J., & Evans, N. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.02518 · Cited by 1

Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing DetectionPreprint

Ge, W., Panariello, M., Patino, J., Todisco, M., & Evans, N. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.03123

Towards Detection of Synthetic Utterances in Romanian Language Speech Forensics

Pop, G., & Burileanu, D. (2021) · International Conference on Speech Technology and Human-Computer Dialogue (SpeD) · doi:10.1109/sped53181.2021.9587393

Generalized Spoof Detection and Incremental Algorithm Recognition for Spoofing VoicePreprint

Guo, J., & Zhao, Z. (2022) · Research Square · doi:10.21203/rs.3.rs-2149586/v1

Audio DeepFake Detection Employing Multiple Parametric Exponential Linear Units

Alam, M. S., Fathan, A., & Alam, J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-48312-7_25

Safeguarding Audio Integrity: Ensemble Architectures for Real-World Fake Audio Identification

Kasturi, S. L., Nivetha, S., Rani, B. S., Vairamuthu, S., Tiwari, S., Yadav, D., & Shankarappa, R. T. (2024) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt61001.2024.10725501

Context Encoded Multi-Modal Attention Network for Detecting Audio Spoofing

Ranjan, R., Mayank Vatsa, A., & Singh, R. (2024) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb62174.2024.10744479

Combining the Optimal Seed Number Determining and SCE-based Data Augmentation for Logical Access Attack Detection

Yang, J., Wu, J., Wen, H., & Gao, Z. (2024) · Innovative Applications of AI · doi:10.70695/skknxc45

Speaker-Specific Method of Spoofing Attack Detection Based on Anomaly Detection

Evsyukov, M. (2025) · Informatics and Automation · doi:10.15622/ia.24.1.8 · Cited by 2

Make full use of your data: On copy-based augmentation in speech anti-spoofing

Zhang, L., Niu, B., Lee, K. A., & Wang, L. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.130799

$\beta$-Order Energy-Weighting Modulation on Spectral Bins for Replay Speech Detection

Yang, J., You, C. H., & Das, R. K. (2025) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2025.3587454

Hubert-Derived SSL Features and ECAPA-TDNN Matching for Robust Audio Deepfake Detection

Tahaoğlu, G. (2025) · Machine learning for signal processing ... · doi:10.1109/mlsp62443.2025.11204297

Omni-Dimensional Dynamic Convolution with Global-Local Multi-Scale Aggregation for Robust Spoof Speech Detection

Zhong, H., Wang, W., & Zhang, J. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11227892

Dual-level principal component fusion networks for synthetic speech detection

Mai, K., Chen, C., Feng, Y., Li, A., & Xi, L. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103738

Enhancing Audio Replay Attack Detection with Silence-Based Blind Channel Impulse Response Estimation

Bekiryazıcı, Ş., Hanilçi, C., & Ozcan, N. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-07956-5_24 · Cited by 1

Tekrar oynatma saldırılarının tespitinde genlik ve faz spektrumu tabanlı özniteliklerin derin öğrenme ile karşılaştırmalı analizi

Bekiryazıcı, Ş., Hanilçi, C., & Ozcan, N. (2025) · Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.17714/gumusfenbil.1695733

Optimizing Audio Deepfake Detection via Simplifying Graph Convolution

Liu, Y., Song, Z., & Guo, T. (2025) · International Conference on Communication and Information Processing (ICCIP) · doi:10.1145/3784833.3784892

Retrieval-Based Deep Difference Modeling for Audio Deepfake Detection

Liu, R., Zhang, J., & Li, H. (2026) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2026.3677607

End-to-End Modeling for Speech Spoofing and Deepfake Detection

Tak, H. (2023) · theses.fr (ABES) · doi:10.70675/aa9fb6cbz3f6az45bcz933fzf95d89893e59

Advances in Privacy Preservation and Fairness Assessment for Voice Biometrics

Chouchane, O. (2024) · theses.fr (ABES) · doi:10.70675/27834b1az6b2bz404fza44ez2ee7f9ce2ea7

Dynamic Spectrogram Analysis with Local-Aware Graph Networks for Audio Anti-Spoofing

Li, Y., Chen, C., Chen, D., Zeng, N., & Zeng, K. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11464633

Emotion and Acoustics Should Agree: Cross-Level Inconsistency Analysis for Audio Deepfake Detection

Zhang, J., Jia, Z., & Liu, R. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11463451

The Generalization Gap: Do Audio Deepfake Detectors Actually Protect Against Modern Vishing?

Martínez-Echevarría, V. G., Palacios, R., López, G., & Gupta, A. D. (2026) · Electronics · doi:10.3390/electronics15132846

Improving Audio Anti-Spoofing with FLA and Local-global Feature Fusion

Sang, J., & Huang, Z. (2026) · International Conference on Electronic Engineering and Informatics (EEI) · doi:10.1109/eei70303.2026.11640547 · Cited by 1

Unmasking Synthetic Speech: A PCA-Based Approach to Differentiating Human and AI-Generated Voices

Panda, B., Disha, M., Bhol, S. G., & Mishra, A. P. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-35516-4_4

Toward Robust Audio Deepfake Detection in Real Acoustic Environments: Limitations of MFCC-Based Classical Models and the Advantages of Deep Learning with Domain Adaptation

Daniyaruly, M., Smaiyl, A., & Zholmyrza, A. (2026) · International Conference on Cybersecurity, Digital Forensics, and AI Applications (ICCSDFAI) · doi:10.1109/iccsdfai70505.2026.11647876

Detecting Voice Conversion Attacks Using Self-Supervised, Handcrafted, and Hybrid Audio Features

Nasr, N. A., Almutairi, A., Attia, M., Daoud, I., Alfares, Y., elsayed, H., Khan, M. U., & Koubâa, A. (2026) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac69091.2026.00099

Integrity Diagnostics for Cross-Silo Federated Deepfake Speech Detection Under Heterogeneity and Poisoning

Serhiienko, I., & Артемчук, В. О. (2026) · Future Internet · doi:10.3390/fi18100544

Odyssey 2018 - t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification

Billard, E. (2018)

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Kinnunen, T., Delgado, H., Evans, N., Lee, K. A., Vestman, V., Nautsch, A., Todisco, M., Wang, X., Sahidullah, M., Yamagishi, J., et al. (2020) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2020.3009494 · Cited by 108

a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification

Shim, H.-J., Jung, J.-W., Kinnunen, T., Evans, N., Bonastre, J.-F., & Lapidot, I. (2024) · The Speaker and Language Recognition Workshop (Odyssey 2024) · doi:10.21437/odyssey.2024-23 · Cited by 14

Optimizing a-DCF for Spoofing-Robust Speaker Verification

Kurnaz, O., Mishra, J., Kinnunen, T., & Hanilçi, C. (2025) · IEEE Signal Processing Letters · doi:10.1109/lsp.2025.3545290 · Cited by 4

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

Kanervisto, A., Hautamäki, V., Kinnunen, T., & Yamagishi, J. (2021) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2021.3138681 · Cited by 12