Introduction to Voice Presentation Attack Detection and Recent Advances

Md Sahidullah; Héctor Delgado; Massimiliano Todisco; Andreas Nautsch; Xin Wang; Tomi Kinnunen; Nicholas Evans; Junichi Yamagishi; Kong Aik Lee

doi:10.1007/978-981-19-5288-3_13

Introduction to Voice Presentation Attack Detection and Recent Advances

Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Andreas Nautsch, Xin Wang, Tomi Kinnunen, Nicholas Evans, Junichi Yamagishi, Kong Aik Lee

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

7 Citations (Scopus)

Abstract

Over the past few years, significant progress has been made in the field of presentation attack detection (PAD) for automatic speaker recognition (ASV). This includes the development of new speech corpora, standard evaluation protocols and advancements in front-end feature extraction and back-end classifiers. The use of standard databases and evaluation protocols has enabled, for the first time, the meaningful benchmarking of different PAD solutions. This chapter summarises the progress, with a focus on studies completed in the last 3 years. The article presents a summary of findings and lessons learned from three ASVspoof challenges, the first community-led benchmarking efforts. These show that ASV PAD remains an unsolved problem and further attention is required to develop generalised PAD solutions which have the potential to detect diverse and previously unseen spoofing attacks.

Original language	English
Title of host publication	Advances in Computer Vision and Pattern Recognition
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	339-385
Number of pages	47
Edition	2
DOIs	https://doi.org/10.1007/978-981-19-5288-3_13
Publication status	Published - Feb 2023
Externally published	Yes

Publication series

Name	Advances in Computer Vision and Pattern Recognition
ISSN (Print)	2191-6586
ISSN (Electronic)	2191-6594

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

More information

10.1007/978-981-19-5288-3_13

Cite this

Sahidullah, M., Delgado, H., Todisco, M., Nautsch, A., Wang, X., Kinnunen, T., Evans, N., Yamagishi, J., & Lee, K. A. (2023). Introduction to Voice Presentation Attack Detection and Recent Advances. In Advances in Computer Vision and Pattern Recognition (2 ed., pp. 339-385). (Advances in Computer Vision and Pattern Recognition). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-5288-3_13

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Sahidullah, M, Delgado, H, Todisco, M, Nautsch, A, Wang, X, Kinnunen, T, Evans, N, Yamagishi, J & Lee, KA 2023, Introduction to Voice Presentation Attack Detection and Recent Advances. in Advances in Computer Vision and Pattern Recognition. 2 edn, Advances in Computer Vision and Pattern Recognition, Springer Science and Business Media Deutschland GmbH, pp. 339-385. https://doi.org/10.1007/978-981-19-5288-3_13

Introduction to Voice Presentation Attack Detection and Recent Advances. / Sahidullah, Md; Delgado, Héctor; Todisco, Massimiliano et al.
Advances in Computer Vision and Pattern Recognition. 2. ed. Springer Science and Business Media Deutschland GmbH, 2023. p. 339-385 (Advances in Computer Vision and Pattern Recognition).

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

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Sahidullah M, Delgado H, Todisco M, Nautsch A, Wang X, Kinnunen T et al. Introduction to Voice Presentation Attack Detection and Recent Advances. In Advances in Computer Vision and Pattern Recognition. 2 ed. Springer Science and Business Media Deutschland GmbH. 2023. p. 339-385. (Advances in Computer Vision and Pattern Recognition). doi: 10.1007/978-981-19-5288-3_13