7 citations · 7 across the 8 of their papers we have counts for
5 papers · 1 filter
Privacy-Preserving End-to-End Full-Duplex Speech Dialogue Models
Nikita Kuzmin, Tao Zhong, Jiajun Deng +6
End-to-end full-duplex speech models feed user audio through an always-on LLM backbone, yet the speaker privacy implications of their hidden representations remain unexamined. Foll…
StreamVoiceAnon+: Emotion-Preserving Streaming Speaker Anonymization via Frame-Level Acoustic Distillation
Nikita Kuzmin, Kong Aik Lee, Eng Siong Chng
We address the challenge of preserving emotional content in streaming speaker anonymization (SA). Neural audio codec language models trained for audio continuation tend to degrade…
Stream-Voice-Anon: Enhancing Utility of Real-Time Speaker Anonymization via Neural Audio Codec and Language Models
Nikita Kuzmin, Songting Liu, Kong Aik Lee +1
Protecting speaker identity is crucial for online voice applications, yet streaming speaker anonymization (SA) remains underexplored. Recent research has demonstrated that neural a…
NTU-NPU System for Voice Privacy 2024 Challenge
Nikita Kuzmin, Hieu-Thi Luong, Jixun Yao +3
In this work, we describe our submissions for the Voice Privacy Challenge 2024. Rather than proposing a novel speech anonymization system, we enhance the provided baselines to meet…
NPU-NTU System for Voice Privacy 2024 Challenge
Jixun Yao, Nikita Kuzmin, Qing Wang +6
Speaker anonymization is an effective privacy protection solution that conceals the speaker's identity while preserving the linguistic content and paralinguistic information of the…