6 papers
Reducing Speaker Residual by Considering Pinhole Effect in Voice Anonymization
Zeyan Liu, Weili Jiang, Liping Chen +4
Voice anonymization aims to protect privacy by suppressing speaker identity while preserving linguistic content and prosody. However, residual speaker attributes in non-identity re…
presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search
Weixuan Ding, Shang Liu, Hanyu Pei +1
Object placement is critical in image composition, requiring spatially and semantically coherent positioning of objects within diverse scenes. Existing approaches typically rely on…
LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks
Hanyu Pei, Shang Liu, Zeyan Liu
Deep Neural Networks (DNNs) are high-value intellectual property (IP), yet deploying them to edge environments exposes them to \textbf{unrestricted oracle access}, rendering them v…
IDMap: A Pseudo-Speaker Generator Framework Based on Speaker Identity Index to Vector Mapping
Zeyan Liu, Liping Chen, Kong Aik Lee +1
Facilitated by the speech generation framework that disentangles speech into content, speaker, and prosody, voice anonymization is accomplished by substituting the original speaker…
Pinhole Effect on Linkability and Dispersion in Speaker Anonymization
Kong Aik Lee, Zeyan Liu, Liping Chen +1
Speaker anonymization aims to conceal speaker-specific attributes in speech signals, making the anonymized speech unlinkable to the original speaker identity. Recent approaches ach…
Exploring Audio-Visual Information Fusion for Sound Event Localization and Detection In Low-Resource Realistic Scenarios
Ya Jiang, Qing Wang, Jun Du +9
This study presents an audio-visual information fusion approach to sound event localization and detection (SELD) in low-resource scenarios. We aim at utilizing audio and video moda…