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Speaker anonymization

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TitleStatusHype
You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks—0
Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy—0
Private kNN-VC: Interpretable Anonymization of Converted SpeechCode0
EASY: Emotion-aware Speaker Anonymization via Factorized Distillation—0
Universal Semantic Disentangled Privacy-preserving Speech Representation Learning—0
Why disentanglement-based speaker anonymization systems fail at preserving emotions?—0
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization—0
NPU-NTU System for Voice Privacy 2024 Challenge—0
Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization—0
Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation—0
MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement—0
A Benchmark for Multi-speaker Anonymization—0
Probing the Feasibility of Multilingual Speaker Anonymization—0
End-to-end streaming model for low-latency speech anonymization—0
Multi-speaker Text-to-speech Training with Speaker Anonymized Data—0
Distinctive and Natural Speaker Anonymization via Singular Value Transformation-assisted Matrix—0
The Impact of Speech Anonymization on Pathology and Its LimitsCode0
Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization—0
Speaker anonymization using neural audio codec language modelsCode1
Evaluation of the Speech Resynthesis Capabilities of the VoicePrivacy Challenge Baseline B1—0
Anonymizing Speech: Evaluating and Designing Speaker Anonymization TechniquesCode1
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer—0
Deep Learning-based F0 Synthesis for Speaker Anonymization—0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
Vocoder drift in x-vector-based speaker anonymizationCode0
Evaluation of Speaker Anonymization on Emotional Speech—0
Distinguishable Speaker Anonymization based on Formant and Fundamental Frequency Scaling—0
VoicePrivacy 2022 System Description: Speaker Anonymization with Feature-matched F0 Trajectories—0
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy—0
NWPU-ASLP System for the VoicePrivacy 2022 Challenge—0
Are disentangled representations all you need to build speaker anonymization systems?—0
Speaker Anonymization with Phonetic Intermediate Representations—0
Differentially Private Speaker Anonymization—0
Exploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models—0
Evaluating X-vector-based Speaker Anonymization under White-box Assessment—0
Improving Security in McAdams Coefficient-Based Speaker Anonymization by Watermarking Method—0
Preliminary study on using vector quantization latent spaces for TTS/VC systems with consistent performance—0
Speaker Anonymization with Distribution-Preserving X-Vector Generation for the VoicePrivacy Challenge 2020Code0
Design Choices for X-vector Based Speaker Anonymization—0
Speaker Anonymization Using X-vector and Neural Waveform Models—0
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