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

• URL: http://arxiv.org/abs/2109.00535v1
• Date: Wed, 1 Sep 2021 15:32:28 GMT
• Title: ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
• Authors: H\'ector Delgado, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Jose Patino, Md Sahidullah, Massimiliano Todisco, Xin Wang, Junichi Yamagishi
• Abstract summary: ASVspoof 2021 is the 4th in a series of bi-annual, competitive challenges. The goal is to develop countermeasures capable of discriminating between bona fide and spoofed or deepfake speech.
• Score: 70.45884214674057
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

Related papers

• The First VoicePrivacy Attacker Challenge Evaluation Plan [39.256453635652484]
  The First VoicePrivacy Attacker Challenge is a new kind of challenge organized as part of the VoicePrivacy initiative and supported by ICASSP 2025 as the SP Grand Challenge. It focuses on developing attacker systems against voice anonymization, which will be evaluated against a set of anonymization systems submitted to the VoicePrivacy 2024 Challenge.
  arXiv  Detail & Related papers  (2024-10-09T20:48:03Z)
• The VoxCeleb Speaker Recognition Challenge: A Retrospective [75.40776645175585]
  The VoxCeleb Speaker Recognition Challenges (VoxSRC) were a series of challenges and workshops that ran annually from 2019 to 2023. The challenges primarily evaluated the tasks of speaker recognition and diarisation under various settings. We provide a review of these challenges that covers: what they explored; the methods developed by the challenge participants and how these evolved.
  arXiv  Detail & Related papers  (2024-08-27T08:57:31Z)
• ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale [59.25180900687571]
  ASVspoof 5 is the fifth edition in a series of challenges that promote the study of speech spoofing and deepfake attacks. We describe the two challenge tracks, the new database, the evaluation metrics, and the evaluation platform, and present a summary of the results.
  arXiv  Detail & Related papers  (2024-08-16T13:37:20Z)
• Towards single integrated spoofing-aware speaker verification embeddings [63.42889348690095]
  This study aims to develop a single integrated spoofing-aware speaker verification embeddings. We analyze that the inferior performance of single SASV embeddings comes from insufficient amount of training data. Experiments show dramatic improvements, achieving a SASV-EER of 1.06% on the evaluation protocol of the SASV2022 challenge.
  arXiv  Detail & Related papers  (2023-05-30T14:15:39Z)
• The VoicePrivacy 2020 Challenge Evaluation Plan [53.14981205333593]
  The VoicePrivacy Challenge aims to promote the development of privacy preservation tools for speech technology. We formulate the voice anonymization task selected for the VoicePrivacy 2020 Challenge and describe the datasets used for system development and evaluation.
  arXiv  Detail & Related papers  (2022-05-14T20:05:51Z)
• ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection [70.45884214674057]
  ASVspoof 2021 is the forth edition in the series of bi-annual challenges which aim to promote the study of spoofing. This paper describes all three tasks, the new databases for each of them, the evaluation metrics, four challenge baselines, the evaluation platform and a summary of challenge results.
  arXiv  Detail & Related papers  (2021-09-01T16:17:31Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.