ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
No Thumbnail Available
Restricted Availability
Date
2024-12-18, 2024-12-18
Persistent identifier of the Data Catalogue metadata
Editor
Journal title
Journal volume
Publisher
Publication Type
dataset
dataset
dataset
Peer Review Status
Repositories
Access rights
Open
ISBN
ISSN
Description
This is the Zenodo repository for the ASVspoof 5 database. ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks, and the design of detection solutions. Compared to previous challenges, the ASVspoof~5 database is built from crowdsourced data collected from around 2,000 speakers in diverse acoustic conditions. More than 20 attacks, also crowdsourced, are generated and optionally tested using surrogate detection models, while seven adversarial attacks are incorporated for the first time.
Please check README.txt and LICENSE.txt before downloading the database.
Database paper (to be submitted): https://arxiv.org/abs/2502.08857
Please consider citing the reference listed at the bottom of this page.
It is highly recommended to follow the rules and instructions in the ASVspoof 5 challenge evaluation plan (phase 2, https://www.asvspoof.org/), if you want to produce results comparable with the literature.
Latest work using the ASVspoof 5 database can be found in the Automatic Speaker Verification Spoofing Countermeasures Workshop proceeding: https://www.isca-archive.org/asvspoof_2024/index.html
If you are interested in creating spoofed data for research purpose using the ASVspoof 5 protocol, please send request to info@asvspoof.org