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

2021/09/01 by Héctor Delgado, Nicholas Evans, Delgado, Héctor +19 · 4 citations
Computer Science · Medicine · #Audio and Speech Processing (eess.AS) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #Voice and Speech Disorders #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2109.00535

openalex publication_date 2021/09/01 · openalex created_date 2021/09/13 · openalex updated_date 2026/07/28

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.

Cited by

• Reliable Audio Deepfake Detection in Variable Conditions via Quantum-Kernel SVMs
• Efficient Speech Watermarking for Speech Synthesis via Progressive Knowledge Distillation
• Token-based Attractors and Cross-attention in Spoof Diarization
• A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems

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