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Speaker anonymization

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TitleStatusHype
Speaker anonymization using neural audio codec language modelsCode1
Anonymizing Speech: Evaluating and Designing Speaker Anonymization TechniquesCode1
Speaker Anonymization with Distribution-Preserving X-Vector Generation for the VoicePrivacy Challenge 2020Code0
Speaker Anonymization with Phonetic Intermediate RepresentationsCode0
The Impact of Speech Anonymization on Pathology and Its LimitsCode0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
Vocoder drift in x-vector-based speaker anonymizationCode0
Private kNN-VC: Interpretable Anonymization of Converted SpeechCode0
Probing the Feasibility of Multilingual Speaker AnonymizationCode0
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker PrivacyCode0
Evaluation of Speaker Anonymization on Emotional Speech—0
Evaluation of the Speech Resynthesis Capabilities of the VoicePrivacy Challenge Baseline B1—0
Exploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models—0
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization—0
Improving Security in McAdams Coefficient-Based Speaker Anonymization by Watermarking Method—0
Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation—0
Multi-speaker Text-to-speech Training with Speaker Anonymized Data—0
MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement—0
Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy—0
NPU-NTU System for Voice Privacy 2024 Challenge—0
NWPU-ASLP System for the VoicePrivacy 2022 Challenge—0
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer—0
Preliminary study on using vector quantization latent spaces for TTS/VC systems with consistent performance—0
Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization—0
Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization—0
Speaker Anonymization Using X-vector and Neural Waveform Models—0
Universal Semantic Disentangled Privacy-preserving Speech Representation Learning—0
VoicePrivacy 2022 System Description: Speaker Anonymization with Feature-matched F0 Trajectories—0
Why disentanglement-based speaker anonymization systems fail at preserving emotions?—0
A Benchmark for Multi-speaker Anonymization—0
You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks—0
Are disentangled representations all you need to build speaker anonymization systems?—0
Deep Learning-based F0 Synthesis for Speaker Anonymization—0
Design Choices for X-vector Based Speaker Anonymization—0
Differentially Private Speaker Anonymization—0
Distinctive and Natural Speaker Anonymization via Singular Value Transformation-assisted Matrix—0
Distinguishable Speaker Anonymization based on Formant and Fundamental Frequency Scaling—0
EASY: Emotion-aware Speaker Anonymization via Factorized Distillation—0
End-to-end streaming model for low-latency speech anonymization—0
Evaluating X-vector-based Speaker Anonymization under White-box Assessment—0
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