Introduction to Voice Presentation Attack Detection and Recent Advances

Md Sahidullah 1 Héctor Delgado 2 Massimiliano Todisco 2 Tomi Kinnunen 3 Nicholas Evans 2 Junichi Yamagishi 4 Kong Aik Lee 5
1 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 Eurecom [Sophia Antipolis]
3 University of Eastern Finland
4 NII - National Institute of Informatics
5 NEC Corporation
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 three years. The article presents a summary of findings and lessons learned from two ASVspoof challenges, the first community-led benchmarking efforts. These show that ASV PAD remains an unsolved problem and that further attention is required to develop generalised
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Submitted on : Thursday, January 10, 2019 - 8:14:02 PM
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Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Tomi Kinnunen, Nicholas Evans, et al.. Introduction to Voice Presentation Attack Detection and Recent Advances. Sébastien Marcel; Mark S. Nixon; Julian Fierrez; Nicholas Evans. Handbook of Biometric Anti-Spoofing: Presentation Attack Detection, Springer, pp.321-361, 2019, Advances in Computer Vision and Pattern Recognition, 978-3-319-92626-1. ⟨10.1007/978-3-319-92627-8_15⟩. ⟨hal-01974528⟩

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