So the technical part on privacy evaluation of speech systems I believe is this, now:
www.voiceprivacychallenge.org
They are quite active and open for improvements - and generally are doing a great job (I'm not involved).
www.voiceprivacychallenge.org
They are quite active and open for improvements - and generally are doing a great job (I'm not involved).
VoicePrivacy
www.voiceprivacychallenge.org
December 3, 2024 at 6:16 AM
So the technical part on privacy evaluation of speech systems I believe is this, now:
www.voiceprivacychallenge.org
They are quite active and open for improvements - and generally are doing a great job (I'm not involved).
www.voiceprivacychallenge.org
They are quite active and open for improvements - and generally are doing a great job (I'm not involved).
#VoicePrivacy Breakthrough: AI Safeguards #CognitiveTests
Researchers create pitch-shifting tools to protect #Privacy in voice-based #Cognitive assessments, maintaining diagnostic accuracy while safeguarding personal data.
www.disabled-world.com/assistivedev...
Researchers create pitch-shifting tools to protect #Privacy in voice-based #Cognitive assessments, maintaining diagnostic accuracy while safeguarding personal data.
www.disabled-world.com/assistivedev...
Voice Privacy Breakthrough: AI Safeguards Cognitive Tests
Researchers create pitch-shifting tools to protect privacy in voice-based cognitive assessments, maintaining diagnostic accuracy while safeguarding personal data.
www.disabled-world.com
March 15, 2025 at 2:10 PM
#VoicePrivacy Breakthrough: AI Safeguards #CognitiveTests
Researchers create pitch-shifting tools to protect #Privacy in voice-based #Cognitive assessments, maintaining diagnostic accuracy while safeguarding personal data.
www.disabled-world.com/assistivedev...
Researchers create pitch-shifting tools to protect #Privacy in voice-based #Cognitive assessments, maintaining diagnostic accuracy while safeguarding personal data.
www.disabled-world.com/assistivedev...
Did anyone ever update this? https://www.ewf-usa.com/page/voiceprivacy Is there a more modern equivalent?
December 3, 2024 at 12:50 AM
Did anyone ever update this? https://www.ewf-usa.com/page/voiceprivacy Is there a more modern equivalent?
content and emotional state. Experimental results on the VoicePrivacy Challenge official datasets demonstrate that our proposed approach outperforms all baseline systems, effectively protecting speaker privacy while maintaining linguistic content and [5/6 of https://arxiv.org/abs/2505.15004v1]
May 22, 2025 at 6:01 AM
content and emotional state. Experimental results on the VoicePrivacy Challenge official datasets demonstrate that our proposed approach outperforms all baseline systems, effectively protecting speaker privacy while maintaining linguistic content and [5/6 of https://arxiv.org/abs/2505.15004v1]
arXiv:2504.14183v1 Announce Type: new
Abstract: The First VoicePrivacy Attacker Challenge is an ICASSP 2025 SP Grand Challenge which focuses on evaluating attacker systems against a set of voice anonymization systems submitted to the VoicePrivacy [1/3 of https://arxiv.org/abs/2504.14183v1]
Abstract: The First VoicePrivacy Attacker Challenge is an ICASSP 2025 SP Grand Challenge which focuses on evaluating attacker systems against a set of voice anonymization systems submitted to the VoicePrivacy [1/3 of https://arxiv.org/abs/2504.14183v1]
April 22, 2025 at 6:00 AM
arXiv:2504.14183v1 Announce Type: new
Abstract: The First VoicePrivacy Attacker Challenge is an ICASSP 2025 SP Grand Challenge which focuses on evaluating attacker systems against a set of voice anonymization systems submitted to the VoicePrivacy [1/3 of https://arxiv.org/abs/2504.14183v1]
Abstract: The First VoicePrivacy Attacker Challenge is an ICASSP 2025 SP Grand Challenge which focuses on evaluating attacker systems against a set of voice anonymization systems submitted to the VoicePrivacy [1/3 of https://arxiv.org/abs/2504.14183v1]
Natalia Tomashenko, Xiaoxiao Miao, Emmanuel Vincent, Junichi Yamagishi: The First VoicePrivacy Attacker Challenge https://arxiv.org/abs/2504.14183 https://arxiv.org/pdf/2504.14183 https://arxiv.org/html/2504.14183
April 22, 2025 at 6:00 AM
Natalia Tomashenko, Xiaoxiao Miao, Emmanuel Vincent, Junichi Yamagishi: The First VoicePrivacy Attacker Challenge https://arxiv.org/abs/2504.14183 https://arxiv.org/pdf/2504.14183 https://arxiv.org/html/2504.14183
Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion, Sarina Meyer, Michele Panariello, Xin Wang, Nicholas Evans, Emmanuel Vincent, ...
The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization
https://arxiv.org/abs/2601.11846
The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization
https://arxiv.org/abs/2601.11846
January 21, 2026 at 6:16 PM
Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion, Sarina Meyer, Michele Panariello, Xin Wang, Nicholas Evans, Emmanuel Vincent, ...
The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization
https://arxiv.org/abs/2601.11846
The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization
https://arxiv.org/abs/2601.11846
Adapting BERT as an automatic speaker verification (ASV) system, the study assesses the impact of intra-speaker linguistic content similarity in VoicePrivacy Attacker Challenge datasets, achieving a mean equal error rate (EER) of 35%.
You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks
Ünal Ege Gaznepoglu, Anna Leschanowsky, Ahmad Aloradi, Prachi Singh, Daniel Tenbrinck, Emanuël A. P. Habets, Nils Peters
arxiv.org
June 12, 2025 at 8:52 AM
Adapting BERT as an automatic speaker verification (ASV) system, the study assesses the impact of intra-speaker linguistic content similarity in VoicePrivacy Attacker Challenge datasets, achieving a mean equal error rate (EER) of 35%.
EASY uses sequential disentanglement and factorized distillation to separate speaker identity, linguistic content, and emotion, outperforming baselines on VoicePrivacy Challenge datasets.
EASY: Emotion-aware Speaker Anonymization via Factorized Distillation
Jixun Yao, Hexin Liu, Eng Siong Chng, Lei Xie
arxiv.org
May 22, 2025 at 8:16 AM
EASY uses sequential disentanglement and factorized distillation to separate speaker identity, linguistic content, and emotion, outperforming baselines on VoicePrivacy Challenge datasets.
Participants submitted automatic speaker verification systems; best systems reduced equal error rate by 25-44%.
The First VoicePrivacy Attacker Challenge
Natalia Tomashenko, Xiaoxiao Miao, Emmanuel Vincent, Junichi Yamagishi
arxiv.org
April 22, 2025 at 7:33 AM
Participants submitted automatic speaker verification systems; best systems reduced equal error rate by 25-44%.
A data augmentation and speaker identity difference enhanced classifier (DA-SID) improved speaker verification performance on anonymized speech; the system achieved a top-5 ranking in the VoicePrivacy Attacker Challenge.
Attacking Voice Anonymization Systems with Augmented Feature and Speaker Identity Difference
Yanzhe Zhang, Zhonghao Bi, Feiyang Xiao, Xuefeng Yang, Qiaoxi Zhu, Jian Guan
arxiv.org
December 30, 2024 at 9:30 AM
A data augmentation and speaker identity difference enhanced classifier (DA-SID) improved speaker verification performance on anonymized speech; the system achieved a top-5 ranking in the VoicePrivacy Attacker Challenge.
Any-to-any Speaker Attribute Perturbation for Asynchronous Voice
Anonymization
Chenyang Guo, Kong Aik Lee et al.
Paper
Details
#SpeakerAnonymization #VoicePrivacy #AsynchronousCommunication
Anonymization
Chenyang Guo, Kong Aik Lee et al.
Paper
Details
#SpeakerAnonymization #VoicePrivacy #AsynchronousCommunication
August 31, 2025 at 4:01 PM
Any-to-any Speaker Attribute Perturbation for Asynchronous Voice
Anonymization
Chenyang Guo, Kong Aik Lee et al.
Paper
Details
#SpeakerAnonymization #VoicePrivacy #AsynchronousCommunication
Anonymization
Chenyang Guo, Kong Aik Lee et al.
Paper
Details
#SpeakerAnonymization #VoicePrivacy #AsynchronousCommunication
Natalia Tomashenko, et al.: The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization https://arxiv.org/abs/2601.11846 https://arxiv.org/pdf/2601.11846 https://arxiv.org/html/2601.11846
January 21, 2026 at 6:30 AM
Natalia Tomashenko, et al.: The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization https://arxiv.org/abs/2601.11846 https://arxiv.org/pdf/2601.11846 https://arxiv.org/html/2601.11846