Connectionists: Call for Papers: Special issue on Advances in Automatic Speaker Verification Anti-spoofing

[Md Sahidullah]

[Apologies for possible cross-posting]

Computer Speech and Language Special issue on Advances in Automatic Speaker
Verification Anti-spoofing
(
https://www.journals.elsevier.com/computer-speech-and-language/call-for-papers/advances-in-automatic-speaker
)

The performance of voice biometrics systems based on automatic speaker
verification (ASV) technology degrades significantly in the presence of
spoofing attacks. Over the past few years considerable progress has been
made in the field of ASV anti-spoofing. This includes the development of
new speech corpora, common evaluation protocols and advancements in
front-end feature extraction and back-end classifiers. The ASVspoof
initiative was launched to promote the development of countermeasures which
aim to protect ASV from spoofing attacks. ASVspoof 2015, the first edition,
focused on the detection of synthetic speech created with voice conversion
(VC) and text-to-speech (TTS) methods. The second edition, ASVspoof 2017,
focused on the detection of replayed speech.

ASVspoof 2019, the latest edition included two sub-challenges geared
towards "logical access" (LA) and "physical access" (PA) scenarios. The LA
scenario relates to the detection of synthetic speech created with advanced
VC and TTS methods developed by academic and non-academic organizations.
The PA scenario promotes the develop of countermeasures for the detection
of replayed speech signals. More than 60 academic and industrial teams
participated in the ASVspoof 2019 challenge. Preliminary results indicate
considerable performance improvements in terms of two evaluation metrics
adopted for the challenge. The top-ranking teams applied different machine
learning algorithms suitable for the discrimination of natural and spoofed
speech.

This special issue will feature articles describing top-performing
techniques and detailed analyses of some of the systems reported in recent
years by leading anti-spoofing researchers. The special issue will also
consist of an overview article which covers ASVspoof 2019 challenge
results, and meta analyses. The scope of the special issue is, however, not
limited to work performed using the ASVspoof challenge datasets; studies
conducted with other datasets are also welcome.

Please contact at info at asvspoof.org if you have any questions about the
relevance of your work for this special issue.

Topics of interest include (but are not limited to):

-Speaker verification anti-spoofing on ASVspoof 2019
-Datasets for speaker verification anti-spoofing
-Deep learning for spoofing and anti-spoofing
-Joint evaluation of countermeasures and speaker verification
-Evaluation methodology for speaker verification anti-spoofing
-Voice conversion for spoofing speaker verification systems
-Text-to-speech for spoofing speaker verification systems
-Robust spoofing countermeasures
-Generalized spoofing countermeasures
-Audio watermarking for spoofing countermeasures
-Acoustic fingerprinting for spoofing countermeasures
-Knowledge-based approaches for spoofing countermeasures
-Open source toolkit for speaker verification anti-spoofing

Important Dates:

Submission open: June 1, 2019
Submission deadline: September 30, 2019
Acceptance deadline: February 10, 2020
Publication: March, 2020

Guest Editors:

Andreas Nautsch, EURECOM, France
Hector Delgado, Nuance Communications, Spain
Massimiliano Todisco, EURECOM, France
Md Sahidullah, Inria, France
Ville Vestman, UEF, Finland
Xin Wang, NII, Japan

Advisory Committee:

Junichi Yamagishi, NII, Japan
Kong-Aik Lee, NEC Corp, Japan
Nicolas Evans, EURCOM, France
Tomi Kinnunen, UEF, Finland


-- 
Md Sahidullah
website: *https://sites.google.com/site/iitkgpsahi/
<https://sites.google.com/site/iitkgpsahi/>*
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