Evans, Nicholas

An Initial Investigation for Detecting Partially Spoofed Audio

Zhang, L., Wang, X., Cooper, E., Yamagishi, J., Patino, J., & Evans, N. (2021) · Interspeech 2021

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 43

Explaining Deep Learning Models for Spoofing and Deepfake Detection with Shapley Additive Explanations

Ge, W., Patino, J., Todisco, M., & Evans, N. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Explainable Artificial Intelligence (XAI)Digital Media Forensic Detection

Cited by 40

ASVspoof 5: Design, collection and validation of resources for spoofing, deepfake, and adversarial attack detection using crowdsourced speech

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2026) · Computer Speech & Language

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 30

Online Non-Negative Convolutive Pattern Learning for Speech Signals

Wang, D., Vipperla, R., Evans, N., & Zheng, T. F. (2013) · IEEE Transactions on Signal Processing

Speech and Audio ProcessingSparse and Compressive Sensing Techniques

Cited by 25

Explainable Deepfake and Spoofing Detection: An Attack Analysis Using SHapley Additive exPlanations

Ge, W., Todisco, M., & Evans, N. (2022) · The Speaker and Language Recognition Workshop (Odyssey 2022)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 18

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

Panariello, M., Ge, W., Tak, H., Todisco, M., & Evans, N. (2023) · INTERSPEECH 2023

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 15

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)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 14

Towards single integrated spoofing-aware speaker verification embeddings

Mun, S. H., Shim, H.-J., Tak, H., Wang, X., Liu, X., Sahidullah, M., Jeong, M., Han, M. H., Todisco, M., Lee, K. A., et al. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 9

Impact of Bandwidth and Channel Variation on Presentation Attack Detection for Speaker Verification

Delgado, H., Todisco, M., Evans, N., Sahidullah, M., Liu, W. M., Alegre, F., Kinnunen, T., & Fauve, B. (2017) · 2017 International Conference of the Biometrics Special Interest Group (BIOSIG)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 8

To what extent can ASV systems naturally defend against spoofing attacks?

Jung, J.-W., Wang, X., Evans, N., Watanabe, S., Shim, H.-J., Tak, H., Arora, S., Yamagishi, J., & Chung, J. S. (2024) · Interspeech 2024

Speech Recognition and SynthesisAdversarial Robustness in Machine Learning

Cited by 7

Malacopula: adversarial automatic speaker verification attacks using a neural-based generalised Hammerstein model

Todisco, M., Panariello, M., Wang, X., Delgado, H., Lee, K. A., & Evans, N. (2024) · The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024)

Speech Recognition and SynthesisAdversarial Robustness in Machine Learning

Cited by 7

t-EER: Parameter-free tandem evaluation of countermeasures and biometric comparators

Kinnunen, T. H., Lee, K. A., Tak, H., Evans, N., & Nautsch, A. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Biometric Identification and SecurityFace recognition and analysis

Cited by 4