Introduction to Voice Presentation Attack Detection and Recent Advances

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
Complete list of metadatas

Cited literature [202 references]  Display  Hide  Download

https://hal.inria.fr/hal-01974528
Contributor : Md Sahidullah <>
Submitted on : Thursday, January 10, 2019 - 8:14:02 PM
Last modification on : Friday, August 9, 2019 - 2:10:14 PM
Long-term archiving on : Thursday, April 11, 2019 - 2:45:47 PM

Identifiers

Citation

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⟩

Share

Metrics

Record views

255

Files downloads

243