ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.10497
  4. Cited By
Are disentangled representations all you need to build speaker
  anonymization systems?

Are disentangled representations all you need to build speaker anonymization systems?

22 August 2022
Pierre Champion
D. Jouvet
Anthony Larcher
ArXivPDFHTML

Papers citing "Are disentangled representations all you need to build speaker anonymization systems?"

17 / 17 papers shown
Title
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization
Sotheara Leang
Anderson Augusma
E. Castelli
Frédérique Letué
Sethserey Sam
Dominique Vaufreydaz
29
0
0
24 Sep 2024
Voice Conversion-based Privacy through Adversarial Information Hiding
Voice Conversion-based Privacy through Adversarial Information Hiding
J. Webber
O. Watts
G. Henter
Jennifer Williams
Simon King
45
0
0
23 Sep 2024
Adapting General Disentanglement-Based Speaker Anonymization for Enhanced Emotion Preservation
Adapting General Disentanglement-Based Speaker Anonymization for Enhanced Emotion Preservation
Xiaoxiao Miao
Yuxiang Zhang
Xin Wang
N. Tomashenko
D. Soh
Ian Mcloughlin
42
1
0
12 Aug 2024
A Benchmark for Multi-speaker Anonymization
A Benchmark for Multi-speaker Anonymization
Xiaoxiao Miao
Ruijie Tao
Chang Zeng
Xin Wang
44
1
0
08 Jul 2024
End-to-end Streaming model for Low-Latency Speech Anonymization
End-to-end Streaming model for Low-Latency Speech Anonymization
Waris Quamer
Ricardo Gutierrez-Osuna
31
0
0
13 Jun 2024
Speaker anonymization using neural audio codec language models
Speaker anonymization using neural audio codec language models
Michele Panariello
Francesco Nespoli
Massimiliano Todisco
Nicholas W. D. Evans
14
17
0
25 Sep 2023
VoicePAT: An Efficient Open-source Evaluation Toolkit for Voice Privacy
  Research
VoicePAT: An Efficient Open-source Evaluation Toolkit for Voice Privacy Research
Sarina Meyer
Xiaoxiao Miao
Ngoc Thang Vu
42
6
0
14 Sep 2023
Vocoder drift compensation by x-vector alignment in speaker
  anonymisation
Vocoder drift compensation by x-vector alignment in speaker anonymisation
Michele Panariello
Massimiliano Todisco
Nicholas W. D. Evans
32
2
0
17 Jul 2023
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding:
  An Early Study on Low Resource Speech Training Leveraging Label-guided
  Synthetic Speech Content
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content
Tiantian Feng
Digbalay Bose
Xuan Shi
Shrikanth Narayanan
31
1
0
13 Jun 2023
Speaker anonymization using orthogonal Householder neural network
Speaker anonymization using orthogonal Householder neural network
Xiaoxiao Miao
Xin Wang
Erica Cooper
Junichi Yamagishi
N. Tomashenko
BDL
24
18
0
30 May 2023
Privacy in Speech Technology
Privacy in Speech Technology
Tomas Bäckström
24
4
0
09 May 2023
DSVAE: Interpretable Disentangled Representation for Synthetic Speech
  Detection
DSVAE: Interpretable Disentangled Representation for Synthetic Speech Detection
Amit Kumar Singh Yadav
Kratika Bhagtani
Ziyue Xiang
Paolo Bestagini
Stefano Tubaro
Edward J. Delp
DRL
34
6
0
06 Apr 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy,
  Safety, and Fairness
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness
Tiantian Feng
Rajat Hebbar
Nicholas Mehlman
Xuan Shi
Aditya Kommineni
and Shrikanth Narayanan
43
31
0
18 Dec 2022
The VoicePrivacy 2020 Challenge Evaluation Plan
The VoicePrivacy 2020 Challenge Evaluation Plan
N. Tomashenko
B. M. L. Srivastava
Xin Wang
Emmanuel Vincent
A. Nautsch
...
Nicholas W. D. Evans
J. Patino
J. Bonastre
Paul-Gauthier Noé
Massimiliano Todisco
29
43
0
14 May 2022
Language-Independent Speaker Anonymization Approach using
  Self-Supervised Pre-Trained Models
Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models
Xiaoxiao Miao
Xin Wang
Erica Cooper
Junichi Yamagishi
N. Tomashenko
61
25
0
26 Feb 2022
Introducing the VoicePrivacy Initiative
Introducing the VoicePrivacy Initiative
N. Tomashenko
B. M. L. Srivastava
Xin Wang
Emmanuel Vincent
A. Nautsch
...
Nicholas W. D. Evans
J. Patino
J. Bonastre
Paul-Gauthier Noé
Massimiliano Todisco
28
127
0
04 May 2020
Probing the Information Encoded in X-vectors
Probing the Information Encoded in X-vectors
Desh Raj
David Snyder
Daniel Povey
Sanjeev Khudanpur
40
84
0
13 Sep 2019
1