ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

Abstract

The automatic speaker verification spoofing and countermeasures (ASVspoof) challenge series is a community-led initiative which aims to promote the consideration of spoofing and the development of countermeasures. ASVspoof 2021 is the 4th in a series of bi-annual, competitive challenges where the goal is to develop countermeasures capable of discriminating between bona fide and spoofed or deepfake speech. This document provides a technical description of the ASVspoof 2021 challenge, including details of training, development and evaluation data, metrics, baselines, evaluation rules, submission procedures and the schedule.

http://www.asvspoof.org

References in corpus (1)

• Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Cited by in corpus (7)

• Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection
• Novel Speech Features for Improved Detection of Spoofing Attacks
• Synthesized Speech Detection Using Convolutional Transformer-Based Spectrogram Analysis
• t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators
• Two Methods for Spoofing-Aware Speaker Verification: Multi-Layer Perceptron Score Fusion Model and Integrated Embedding Projector
• Impact of Channel Variation on One-Class Learning for Spoof Detection
• BarrierBypass: Out-of-Sight Clean Voice Command Injection Attacks through Physical Barriers