mlsanityData to 7 Oct 2026

The VoicePrivacy 2024 Challenge Evaluation Plan

arXiv 2404.02677 ↗First posted 3 Apr 2024eess.AS cs.CL cs.CRcited by 39

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Abstract (arXiv)

The task of the challenge is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting linguistic content and emotional states. The organizers provide development and evaluation datasets and evaluation scripts, as well as baseline anonymization systems and a list of training resources formed on the basis of the participants' requests. Participants apply their developed anonymization systems, run evaluation scripts and submit evaluation results and anonymized speech data to the organizers. Results will be presented at a workshop held in conjunction with Interspeech 2024 to which all participants are invited to present their challenge systems and to submit additional workshop papers.

Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). Builds on 45 of its 73 references that are in the map. First posted on arXiv 3 Apr 2024.

Builds on

45 of 73 references.

References · 45

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  3. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
  4. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
  5. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
  6. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,139
  7. 2018VoxCeleb2: Deep Speaker Recognitioncited by 862
  8. 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 737
  9. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 710
  10. 2022High Fidelity Neural Audio Compressioncited by 673
  11. 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 639
  12. 2022AudioLM: a Language Modeling Approach to Audio Generationcited by 611
33 more
  1. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 606
  2. 2021XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scalecited by 589
  3. 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 555
  4. 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 462
  5. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
  6. 2015MUSAN: A Music, Speech, and Noise Corpuscited by 400
  7. 2021W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Trainingcited by 340
  8. 2020FSD50K: An Open Dataset of Human-Labeled Sound Eventscited by 339
  9. 2018Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesiscited by 257
  10. 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Modelscited by 222
  11. 2022Dawn of the transformer era in speech emotion recognition: closing the valence gapcited by 155
  12. 2020Seen and Unseen emotional style transfer for voice conversion with a new emotional speech datasetcited by 119
  13. 2022Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understandingcited by 90
  14. 2022ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakerscited by 73
  15. 2022ICASSP 2022 Deep Noise Suppression Challengecited by 57
  16. 2020Introducing the VoicePrivacy Initiativecited by 48
  17. 2021The VoicePrivacy 2020 Challenge: Results and findingscited by 45
  18. 2019Speaker Anonymization Using X-vector and Neural Waveform Modelscited by 41
  19. 2020Speaker anonymisation using the McAdams coefficientcited by 38
  20. 2020x-vectors meet emotions: A study on dependencies between emotion and speaker recognitioncited by 31
  21. 2019Evaluating Voice Conversion-based Privacy Protection against Informed Attackerscited by 30
  22. 2020Design Choices for X-vector Based Speaker Anonymizationcited by 27
  23. 2023Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniquescited by 22
  24. 2024ECAPA2: A Hybrid Neural Network Architecture and Training Strategy for Robust Speaker Embeddingscited by 22
  25. 2023Speaker anonymization using neural audio codec language modelscited by 21
  26. 2022Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacycited by 20
  27. 2022The VoicePrivacy 2022 Challenge Evaluation Plancited by 18
  28. 2022Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Unitscited by 15
  29. 2019Deep neural networks for emotion recognition combining audio and transcriptscited by 11
  30. 2019Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesiscited by 10
  31. 2022The VoicePrivacy 2020 Challenge Evaluation Plancited by 6
  32. 2023VoicePAT: An Efficient Open-source Evaluation Toolkit for Voice Privacy Researchcited by 3
  33. 2023Evaluation of Speaker Anonymization on Emotional Speechcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 8; 2025: 16; 2026: 15.

39 papers.

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  1. 2024HLTCOE JHU Submission to the Voice Privacy Challenge 2024cited by 10
  2. 2024Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymizationcited by 9
  3. 2025GenVC: Self-Supervised Zero-Shot Voice Conversioncited by 8
  4. 2024A Benchmark for Multi-speaker Anonymizationcited by 7
  5. 2025DEEMO: De-identity Multimodal Emotion Recognition and Reasoningcited by 7
  6. 2024NTU-NPU System for Voice Privacy 2024 Challengecited by 6
  7. 2025Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speechcited by 6
  8. 2025DarkStream: real-time speech anonymization with low latencycited by 6
  9. 2024Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymizationcited by 5
  10. 2025Children's Voice Privacy: First Steps And Emerging Challengescited by 5
  11. 2025The First VoicePrivacy Attacker Challengecited by 4
  12. 2026Stream-Voice-Anon: Enhancing Utility of Real-Time Speaker Anonymization via Neural Audio Codec and Language Modelscited by 4
27 more
  1. 2026TVTSyn: Content-Synchronous Time-Varying Timbre for Streaming Voice Conversion and Anonymizationcited by 4
  2. 2025Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systemscited by 3
  3. 2026AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detectioncited by 3
  4. 2024Exploring VQ-VAE with Prosody Parameters for Speaker Anonymizationcited by 2
  5. 2025Towards Privacy-aware Mental Health AI Models: Advances, Challenges, and Opportunitiescited by 2
  6. 2025Content Anonymization for Privacy in Long-form Audiocited by 2
  7. 2025Universal Semantic Disentangled Privacy-preserving Speech Representation Learningcited by 1
  8. 2025SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantizationcited by 1
  9. 2025SegReConcat: A Data Augmentation Method for Voice Anonymization Attackcited by 1
  10. 2025VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attackscited by 1
  11. 2025Target speaker anonymization in multi-speaker recordingscited by 1
  12. 2024Scenario of Use Scheme: Threat Model Specification for Speaker Privacy Protection in the Medical Domaincited by 0
  13. 2024The First VoicePrivacy Attacker Challenge Evaluation Plancited by 0
  14. 2025Perceptual implications of automatic anonymization in pathological speechcited by 0
  15. 2025Improving the Speaker Anonymization Evaluation's Robustness to Target Speakers with Adversarial Learningcited by 0
  16. 2026Speech Generation Speaker Poisoning: Capability Erasure in Zero-Shot Text-to-Speechcited by 0
  17. 2026Privacy-Preserving End-to-End Full-Duplex Speech Dialogue Modelscited by 0
  18. 2026DAST: A Dual-Stream Voice Anonymization Attacker with Staged Trainingcited by 0
  19. 2026Voice Privacy from an Attribute-based Perspectivecited by 0
  20. 2026PHONOS: PHOnetic Neutralization for Online Streaming Applicationscited by 0
  21. 2026Anonymization, Not Elimination: Utility-Preserved Speech Anonymizationcited by 0
  22. 2026TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separationcited by 0
  23. 2026NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymizationcited by 0
  24. 2026Listen to the Features: Voice Anonymization Driven by Content Embedding Matching over Signal Reconstructioncited by 0
  25. 2026Synthetic Speech, Real Signal: Paralinguistic Preservation and Cross-Lingual Augmentation via Voice Cloningcited by 0
  26. 2026Your Voice Cloning System is Secretly a Voice Anonymizercited by 0
  27. 2026Beyond EER: Multi-Dimensional Evaluation of Information Leakage in Speaker De-Identificationcited by 0