mlsanityData to 7 Oct 2026

HLTCOE JHU Submission to the Voice Privacy Challenge 2024

arXiv 2409.08913 ↗First posted 13 Sep 2024eess.AS cs.LGcited by 10

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Abstract (arXiv)

We present a number of systems for the Voice Privacy Challenge, including voice conversion based systems such as the kNN-VC method and the WavLM voice Conversion method, and text-to-speech (TTS) based systems including Whisper-VITS. We found that while voice conversion systems better preserve emotional content, they struggle to conceal speaker identity in semi-white-box attack scenarios; conversely, TTS methods perform better at anonymization and worse at emotion preservation. Finally, we propose a random admixture system which seeks to balance out the strengths and weaknesses of the two category of systems, achieving a strong EER of over 40% while maintaining UAR at a respectable 47%.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 11 of its 20 references that are in the map. First posted on arXiv 13 Sep 2024.

Builds on

11 of 20 references.

References · 11

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
  3. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,139
  4. 2017VoxCeleb: a large-scale speaker identification datasetcited by 714
  5. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 710
  6. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 606
  7. 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 555
  8. 2023Voice Conversion With Just Nearest Neighborscited by 67
  9. 2024The VoicePrivacy 2024 Challenge Evaluation Plancited by 39
  10. 2021Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speechcited by 37
  11. 2022VoicePrivacy 2022 System Description: Speaker Anonymization with Feature-matched F0 Trajectoriescited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 5; 2026: 3.

10 papers.

  1. 2026The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymizationcited by 8
  2. 2024Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymizationcited by 5
  3. 2025The First VoicePrivacy Attacker Challengecited by 4
  4. 2026TVTSyn: Content-Synchronous Time-Varying Timbre for Streaming Voice Conversion and Anonymizationcited by 4
  5. 2025Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systemscited by 3
  6. 2025SEF-MK: Speaker-Embedding-Free Voice Anonymization through Multi-k-means Quantizationcited by 1
  7. 2025SegReConcat: A Data Augmentation Method for Voice Anonymization Attackcited by 1
  8. 2024The First VoicePrivacy Attacker Challenge Evaluation Plancited by 0
  9. 2025Evaluating Identity Leakage in Speaker De-Identification Systemscited by 0
  10. 2026DiffAnon: Diffusion-based Prosody Control for Voice Anonymizationcited by 0