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ISCApad Archive » 2020 » ISCApad #262 » Journals » CfP: Special issue of Computer, Speech and Language on Advances in Automatic Speaker Verification Anti-spoofing |
ISCApad #262 |
| Tuesday, April 14, 2020 by Chris Wellekens |
7-8 CfP: Special issue of Computer, Speech and Language on Advances in Automatic Speaker Verification Anti-spoofing
Call for Papers: Special issue on Advances in Automatic Speaker Verification Anti-spoofing Computer Speech and Language Special issue on Advances in Automatic Speaker Verification Anti-spoofing
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@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, EURECOM, France
Tomi Kinnunen, UEF, Finland
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