mlsanityData to 7 Oct 2026

The First VoicePrivacy Attacker Challenge Evaluation Plan

arXiv 2410.07428 ↗First posted 9 Oct 2024eess.AS cs.CL cs.CRcited by 0

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Abstract (arXiv)

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. Training, development, and evaluation datasets are provided along with a baseline attacker system. Participants shall develop their attacker systems in the form of automatic speaker verification systems and submit their scores on the development and evaluation data to the organizers. To do so, they can use any additional training data and models, provided that they are openly available and declared before the specified deadline. The metric for evaluation is equal error rate (EER). Results will be presented at the ICASSP 2025 special session to which 5 selected top-ranked participants will be invited to submit and present their challenge systems.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 41 of its 63 references that are in the map. First posted on arXiv 9 Oct 2024.

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41 of 63 references.

References · 41

  1. 2017Squeeze-and-Excitation Networkscited by 4,763
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  3. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  4. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
  5. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
  6. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
  7. 2018VoxCeleb2: Deep Speaker Recognitioncited by 862
  8. 2022High Fidelity Neural Audio Compressioncited by 673
  9. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 606
  10. 2021XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scalecited by 589
  11. 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 555
  12. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
29 more
  1. 2015MUSAN: A Music, Speech, and Noise Corpuscited by 400
  2. 2017AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baselinecited by 364
  3. 2014Deep Speech: Scaling up end-to-end speech recognitioncited by 354
  4. 2018Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesiscited by 257
  5. 2018TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptationcited by 224
  6. 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Modelscited by 222
  7. 2019AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Losscited by 189
  8. 2023CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Maskingcited by 95
  9. 2022Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkitcited by 92
  10. 2021VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversioncited by 63
  11. 2018The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systemscited by 61
  12. 2021TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global contextcited by 61
  13. 2020Introducing the VoicePrivacy Initiativecited by 48
  14. 2021The VoicePrivacy 2020 Challenge: Results and findingscited by 45
  15. 2023An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verificationcited by 41
  16. 2024The VoicePrivacy 2024 Challenge Evaluation Plancited by 39
  17. 2019Evaluating Voice Conversion-based Privacy Protection against Informed Attackerscited by 30
  18. 2024VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmarkcited by 24
  19. 2023Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniquescited by 22
  20. 2023Speaker anonymization using neural audio codec language modelscited by 21
  21. 2022The VoicePrivacy 2022 Challenge Evaluation Plancited by 18
  22. 2024ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiencycited by 18
  23. 2024The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisationcited by 17
  24. 2024NPU-NTU System for Voice Privacy 2024 Challengecited by 12
  25. 2024HLTCOE JHU Submission to the Voice Privacy Challenge 2024cited by 10
  26. 2021Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterancescited by 8
  27. 2024NTU-NPU System for Voice Privacy 2024 Challengecited by 6
  28. 2021On the invertibility of a voice privacy system using embedding alignementcited by 4
  29. 2023CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognitioncited by 4

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