mlsanityData to 7 Oct 2026

NTU-NPU System for Voice Privacy 2024 Challenge

arXiv 2410.02371 ↗First posted 3 Oct 2024eess.AS cs.AIcited by 6

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Abstract (arXiv)

In this work, we describe our submissions for the Voice Privacy Challenge 2024. Rather than proposing a novel speech anonymization system, we enhance the provided baselines to meet all required conditions and improve evaluated metrics. Specifically, we implement emotion embedding and experiment with WavLM and ECAPA2 speaker embedders for the B3 baseline. Additionally, we compare different speaker and prosody anonymization techniques. Furthermore, we introduce Mean Reversion F0 for B5, which helps to enhance privacy without a loss in utility. Finally, we explore disentanglement models, namely β-VAE and NaturalSpeech3 FACodec.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 13 of its 18 references that are in the map. First posted on arXiv 3 Oct 2024.

Builds on

13 of 18 references.

References · 13

  1. 2020Conformer: Convolution-augmented Transformer for Speech Recognitioncited by 1,838
  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. 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 462
  5. 2023High-Fidelity Audio Compression with Improved RVQGANcited by 423
  6. 2018Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesiscited by 257
  7. 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Modelscited by 222
  8. 2022Dawn of the transformer era in speech emotion recognition: closing the valence gapcited by 155
  9. 2024The VoicePrivacy 2024 Challenge Evaluation Plancited by 39
  10. 2023Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniquescited by 22
  11. 2023The IMS Toucan System for the Blizzard Challenge 2023cited by 6
  12. 2022Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using β-VAEcited by 3
1 more
  1. 2024Speaker Embeddings With Weakly Supervised Voice Activity Detection For Efficient Speaker Diarizationcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 3.

6 papers.

  1. 2026The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymizationcited by 8
  2. 2025The First VoicePrivacy Attacker Challengecited by 4
  3. 2026Stream-Voice-Anon: Enhancing Utility of Real-Time Speaker Anonymization via Neural Audio Codec and Language Modelscited by 4
  4. 2025SegReConcat: A Data Augmentation Method for Voice Anonymization Attackcited by 1
  5. 2024The First VoicePrivacy Attacker Challenge Evaluation Plancited by 0
  6. 2026StreamVoiceAnon+: Emotion-Preserving Streaming Speaker Anonymization via Frame-Level Acoustic Distillationcited by 0