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Speaker anonymization
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy
Private kNN-VC: Interpretable Anonymization of Converted Speech
EASY: Emotion-aware Speaker Anonymization via Factorized Distillation
Universal Semantic Disentangled Privacy-preserving Speech Representation Learning
Why disentanglement-based speaker anonymization systems fail at preserving emotions?
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization
NPU-NTU System for Voice Privacy 2024 Challenge
Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization
Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation
MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement
A Benchmark for Multi-speaker Anonymization
Probing the Feasibility of Multilingual Speaker Anonymization
End-to-end streaming model for low-latency speech anonymization
Multi-speaker Text-to-speech Training with Speaker Anonymized Data
Distinctive and Natural Speaker Anonymization via Singular Value Transformation-assisted Matrix
The Impact of Speech Anonymization on Pathology and Its Limits
Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization
Speaker anonymization using neural audio codec language models
Evaluation of the Speech Resynthesis Capabilities of the VoicePrivacy Challenge Baseline B1
Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer
Deep Learning-based F0 Synthesis for Speaker Anonymization
Long-term Conversation Analysis: Exploring Utility and Privacy
Vocoder drift in x-vector-based speaker anonymization
Evaluation of Speaker Anonymization on Emotional Speech
Distinguishable Speaker Anonymization based on Formant and Fundamental Frequency Scaling
VoicePrivacy 2022 System Description: Speaker Anonymization with Feature-matched F0 Trajectories
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy
NWPU-ASLP System for the VoicePrivacy 2022 Challenge
Are disentangled representations all you need to build speaker anonymization systems?
Speaker Anonymization with Phonetic Intermediate Representations
Differentially Private Speaker Anonymization
Exploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models
Evaluating X-vector-based Speaker Anonymization under White-box Assessment
Improving Security in McAdams Coefficient-Based Speaker Anonymization by Watermarking Method
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